agent_catalog
ChatGPTBrowse the account-wide catalog of available trigger types and skills for monday platform agents. READ-ONLY — no agent_id required. Use this tool to discover what's available BEFORE wiring anything to a specific agent. ACTIONS: - list_triggers: { block_reference_ids? } — returns available trigger types. Each entry has block_reference_id (required for manage_agent_triggers action:"add"), name, description, field_schemas (describes field_values shape), and required_fields (fields to collect from the user). Note: only triggers that can be added programmatically appear here. OAuth/3rd-party triggers (Slack, Gmail, Salesforce, etc.) require user setup in the monday.com UI and will not appear here. - list_skills: {} — returns available skills with id, name, description. Never guess or invent a skill id — always look it up here before calling manage_agent_skills action:"add". USAGE EXAMPLES: - List all trigger types: { "action": "list_triggers" } - Fetch specific trigger: { "action": "list_triggers", "block_reference_ids": ["some-block-ref-id"] } - List all skills: { "action": "list_skills" } RELATED TOOLS: - manage_agent_triggers — use block_reference_id from list_triggers to attach a trigger to a specific agent - manage_agent_skills — use skill id from list_skills, or action:"create" to author a new skill, then attach to an agent - manage_agent — manage the agent entity itself (create, update, delete, activate, etc.)
all_monday_api
ChatGPTExecute any monday.com API operation by generating GraphQL queries and mutations dynamically. Make sure you ask only for the fields you need and nothing more. When providing the query/mutation - use get_graphql_schema and get_type_details tools first to understand the schema before crafting your query.
all_widgets_schema
ChatGPTFetch complete JSON Schema 7 definitions for all available widget types in monday.com. This tool is essential before creating widgets as it provides: - Complete schema definitions for all supported widgets - Required and optional fields for each widget type - Data type specifications and validation rules - Detailed descriptions of widget capabilities Use this tool when you need to: - Understand widget configuration requirements before creating widgets - Validate widget settings against official schemas - Plan widget implementations with proper data structures The response includes JSON Schema 7 definitions that describe exactly what settings each widget type accepts.
board_insights
ChatGPTThis tool allows you to calculate insights about board's data by filtering, grouping and aggregating columns. For example, you can get the total number of items in a board, the number of items in each status, the number of items in each column, etc. Use this tool when you need to get a summary of the board's data, for example, you want to know the total number of items in a board, the number of items in each status, the number of items in each column, etc.[REQUIRED PRECONDITION]: Before using this tool, if new columns were added to the board or if you are not familiar with the board's structure (column IDs, column types, status labels, etc.), first use get_board_info to understand the board metadata. This is essential for constructing proper filters and knowing which columns are available.[IMPORTANT]: For some columns, human-friendly label is returned inside 'LABEL_<column_id' field. E.g. for column with id 'status_123' the label is returned inside 'LABEL_status_123' field.
change_item_column_values
ChatGPTChange the column values of an item in a monday.com board. [REQUIRED PRECONDITION]: For board-relation linking tasks, call link_board_items_workflow before using this tool.
create_agent
ChatGPTCreate a personal/custom agent on the monday.com platform. See get_agent for what a monday platform agent is. Terminology note: users might ask for "agent" in natural language (for example: "create me an agent"), but in this API context this refers to monday personal/custom agents. Two modes: - Prompt mode (recommended): pass prompt (and optional agent_model) and the platform generates profile + goal + plan via AI. - Manual mode: omit prompt and pass any of name/role/role_description/user_prompt to create a blank agent profile quickly. Do not mix prompt with manual profile fields in one request. Created agents start in state INACTIVE and must be activated before they can be triggered. Instruct the user to activate from the monday.com agent settings UI. created_at and updated_at are null in the response — call get_agent with the returned id afterward to fetch them. USAGE EXAMPLES: - AI-generated: { "prompt": "Run my daily standup — collect status updates, summarize blockers, and post recap every weekday at 9am." } - Blank/manual: { "name": "Standup Bot", "role": "Project Manager", "gender": "female" } - Blank/defaults: {}
create_automation
ChatGPTCreates an automation on a monday board from a natural-language description (e.g. "notify me when status changes to Done"). Use when the user has clearly described what to automate — both the trigger (what kicks it off) and the action (what should happen), and you know which board to create it on. If basic details are missing (including boardId), ask the user first instead of calling with a vague prompt. If the prompt is still ambiguous, the tool returns status: "needs_clarification" with the unresolved fields — present them to the user, gather answers, then call again. Terminology: - Trigger: When the automation should run (e.g. "when a new item is created"). - Conditions: additional conditions that must be met for the automation to run. - Actions: what the automation should do when it runs (can have multiple actions).
create_board
ChatGPTCreate a monday.com board
create_column
ChatGPTCreate a new column in a monday.com board
create_dashboard
ChatGPTUse this tool to create a new monday.com dashboard that aggregates data from one or more boards. Dashboards provide visual representations of board data through widgets and charts. Use this tool when users want to: - Create a dashboard to visualize board data - Aggregate information from multiple boards - Set up a data visualization container for widgets
create_doc
ChatGPTCreate a new monday.com doc either inside a workspace or attached to an item (via a doc column). After creation, the provided markdown will be appended to the document. LOCATION TYPES: - workspace: Creates a document in a workspace (requires workspace_id, optional doc_kind, optional folder_id, optional docOwnerIds) - item: Creates a document attached to an item (requires item_id, optional column_id, optional docOwnerIds) USAGE EXAMPLES: - Workspace doc: { location: "workspace", workspace_id: 123, doc_name: "My Doc", doc_kind: "private" , markdown: "..." } - Workspace doc in folder: { location: "workspace", workspace_id: 123, doc_name: "My Doc", folder_id: 17264196 , markdown: "..." } - Item doc: { location: "item", item_id: 456, doc_name: "My Doc", column_id: "doc_col_1" , markdown: "..." } - Workspace doc with agent owner: { location: "workspace", workspace_id: 123, doc_name: "My Doc", markdown: "...", docOwnerIds: ["<agent_owner_user_id>"] }
create_folder
ChatGPTCreate a new folder in a monday.com workspace
create_form
ChatGPTCreate a monday.com form. Also creates a backing board to store responses. Returns the formToken for future mutations.
create_form_submission
ChatGPTSubmit a response to a monday.com WorkForm. Use get_form first to retrieve the WorkForm, then: - Inspect each question's showIfRules to determine which questions are conditionally shown based on previous answers. - Inspect each question's settings for any answer constraints (e.g. rating limits, select options, label limits). - Take note of any titles, descriptions, and content blocks to present the form naturally as you walk the user through it. - Take note of pages and question order to present questions in the correct sequence. Gather all answers upfront before calling this tool — do not submit one question at a time. Accepts a bare form token, a full WorkForm URL (e.g. https://forms.monday.com/forms/{form_token}?r=use1), or a shortened wkf.ms URL (e.g. https://wkf.ms/4tqP28t) — shortened URLs are automatically resolved by following the redirect. Returns the submission ID.
create_group
ChatGPTCreate a new group in a monday.com board. Groups are sections that organize related items. Use when users want to add structure, categorize items, or create workflow phases. Groups can be positioned relative to existing groups and assigned predefined colors. Items will always be created in the top group and so the top group should be the most relevant one for new item creation
create_item
ChatGPTCreate a new item with provided values, create a subitem under a parent item, or duplicate an existing item and update it with new values. Use parentItemId when creating a subitem under an existing item. Use duplicateFromItemId when copying an existing item with modifications.[REQUIRED PRECONDITION]: Before using this tool, if new columns were added to the board or if you are not familiar with the board's structure (column IDs, column types, status labels, etc.), first use get_board_info to understand the board metadata. This is essential for constructing proper column values and knowing which columns are available.
create_notification
ChatGPTSend a notification to a user via the bell icon and optionally by email. Use target_type "Post" for updates/replies or "Project" for items/boards.
create_update
ChatGPTCreate a new update (comment/post) on a monday.com item. Updates can be used to add comments, notes, or discussions to items. You can optionally mention users, teams, or boards in the update. You can also reply to an existing update by using the parentId parameter.
create_view
ChatGPTCreate a new board view (tab) with optional filters and sorting. This creates a saved view on a monday.com board that users can switch to. Filter operators: any_of, not_any_of, is_empty, is_not_empty, greater_than, lower_than, between, contains_text, not_contains_text Example filter for people column: { "rules": [{ "column_id": "people", "compare_value": ["person-12345"], "operator": "any_of" }] } Example filter for status column: { "rules": [{ "column_id": "status", "compare_value": [1], "operator": "any_of" }] }
create_view_table
ChatGPTCreate a new table-type board view with optional filters, sort, tags, and table-specific settings (column visibility/order and group-by). Use this instead of create_view when you need to configure table-specific settings. For a simple table view, create_view also works. Filter operators: any_of, not_any_of, is_empty, is_not_empty, greater_than, lower_than, between, contains_text, not_contains_text Example settings.columns: { "column_properties": [{ "column_id": "status", "visible": true }], "column_order": ["name", "status", "date"] } Example settings.group_by: { "conditions": [{ "columnId": "status" }], "hideEmptyGroups": true }
create_widget
ChatGPTCreate a new widget in a dashboard or board view with specific configuration settings. This tool creates data visualization widgets that display information from monday.com boards: Parent Containers: - DASHBOARD: Place widget in a dashboard (most common use case) - BOARD_VIEW: Place widget in a specific board view Critical Requirements: 1. Schema Compliance: Widget settings MUST conform to the JSON schema for the specific widget type 2. Use all_widgets_schema first: Always fetch widget schemas before creating widgets 3. Validate settings: Ensure all required fields are provided and data types match Workflow: 1. Use 'all_widgets_schema' to get schema definitions 2. Prepare widget settings according to the schema 3. Use this tool to create the widget
create_workflow
ChatGPTCreates a new empty workflow in a monday.com workspace. Use this when the user wants to build a new standalone workflow from scratch. Workflows are cross-board, workspace-level — distinct from automations (use create_automation for those). You only need a workspaceId to get started — all other fields are optional. Returns: - workflowObjectId: the workflow object ID - workflowDraftId: the current draft version ID — workflows start as drafts and must be published before they run Terminology: - Workflows vs. automations: workflows are standalone objects scoped to a workspace. Automations (create_automation) are per-board trigger/action rules. They are different products. - Draft: the editable, inactive version of a workflow. Changes are made on the draft version until it is published as the live version. - Privacy: PUBLIC — visible to all workspace members (default). PRIVATE — restricted access. SHAREABLE — accessible to guests outside the account.
create_workspace
ChatGPTCreate a new workspace in monday.com
delete_agent
ChatGPTPermanently delete a personal/custom agent on the monday.com platform. Removes the agent and all of its versions. The agent stops appearing in get_agent results and can no longer be triggered. This action cannot be undone. Only the agent owner can delete it. Terminology note: users might ask for "agent" in natural language (for example: "delete my standup agent"), but in this API context this refers to monday personal/custom agents. VERIFY BEFORE DELETING: When the user refers to an agent by name or description (e.g. "delete my standup bot"), call get_agent (no id) first to list all the user's agents and confirm the correct id. Do not infer ids — pick the matching agent by inspecting profile.name / role / goal. USAGE EXAMPLE: { "id": "42" }
finalize_asset_upload
ChatGPTFinalize a file upload and create the asset on monday.com. Call this after uploading the file to the presigned URL from get_asset_upload_url. Requires the etag value from the PUT response headers. Automatically attaches the uploaded asset to the specified file column on the item. Returns the created asset_id.
form_questions_editor
ChatGPTCreate, update, or delete a question in a monday.com form
get_agent
ChatGPTFetch one or more personal/custom agents on the monday.com platform. monday platform agents are user-built work orchestrators and executors that live on the monday.com platform — each has a profile (name, role, avatar), a goal, and an execution plan in markdown describing capabilities and operating principles. Agents in state ACTIVE can be triggered to perform automated work on monday boards. They are NOT local LangChain or MCP agents — they are managed entities on the monday.com platform owned by a specific user. Terminology note: users might ask for "agent" in natural language (for example: "create me an agent"), but in this API context this refers to monday personal/custom agents. Agent state in get_agent results is one of ACTIVE, INACTIVE, ARCHIVED, or FAILED. DELETED agents are filtered from these queries — DELETED only appears as the return value of delete_agent. Agent kind is one of PERSONAL, ACCOUNT_LEVEL, or EXTERNAL. Pass id to fetch one specific agent by its unique identifier. Omit id to list agents owned by the authenticated user (capped at 100 — ask the user for a higher limit if needed). An empty list means the user owns no agents, which is not an error. USAGE EXAMPLES: - Fetch one agent: { "id": "42" } - List my agents: {}
get_asset_upload_url
ChatGPTGet a presigned URL to upload a file to monday.com. Returns an upload_id and upload_url. After calling this tool, upload the file to the returned URL using an HTTP PUT request and capture the ETag header from the response: curl -i -X PUT "<upload_url>" \ -H "Content-Type: <the contentType you provided>" \ --data-binary @<local_file_path> The response includes an ETag header (e.g. ETag: "abc123...") — save this value. Then call finalize_asset_upload with the upload_id, etag, board_id, item_id, and column_id to complete the upload and attach the file to an item's file column. Max file size: 500MB.
get_assets
ChatGPTGet assets (files) by their IDs. Returns file metadata including name, extension, size, public URL (valid for 1 hour), thumbnail URL, upload date, and who uploaded it.
get_automation_runs
ChatGPTRead automation/workflow run history. Read-only. Modes: - "history": paginated run feed (state, duration, error reason). Use "filters" to narrow results and "nextPageOffset" to page (offset-only — next page = previous offset + returned count). - "detail": single run by "triggerUuid" (required) — returns block steps and MCP tool calls. Set "includeToolEvents": false to skip tool calls. Scope: provide "boardId" for a specific board or "accountWide": true. One is required. Known event states: "success", "failure", "exhausted".
get_automation_statistics
ChatGPTAggregate automation run statistics. Read-only. Breakdowns: - "totals": success/failure/total counts at the account or board level. - "by_entity": per-automation and per-workflow counts for a given "runStatus" (required: "success" | "failure" | "exhausted"). Use "excludeAutomationIds" to omit specific automations. Scope: provide "boardId" for a specific board or "accountWide": true. One is required. Optional "userIds" narrows results to specific creators.
get_board_activity
ChatGPTGet board activity logs for a specified time range (defaults to last 30 days)
get_board_info
ChatGPTGet comprehensive board information including metadata, structure, owners, and configuration. Also returns the board's views (e.g. table views, filter views) — each view includes its id, name, type, and a structured filter object.
get_board_items_page
ChatGPTGet all items from a monday.com board with pagination support and optional column values and item descriptions. Returns structured JSON with item details, creation/update timestamps, and pagination info. Use the nextCursor parameter from the response to get the next page of results when has_more is true. To retrieve an item description (the rich-text body/details of a monday.com item), set includeItemDescription to true — the response will include the item description document blocks with their content, type, and id. Use this whenever the user asks about an item description, body, details, or notes. [REQUIRED PRECONDITION]: Before using this tool, if new columns were added to the board or if you are not familiar with the board structure (column IDs, column types, status labels, etc.), first use get_board_info to understand the board metadata. This is essential for constructing proper filters and knowing which columns are available. [REQUIRED PRECONDITION]: For board-relation / cross-board linking tasks, call link_board_items_workflow before using this tool. VIEW-BASED FILTERING: If the user refers to a board view by name (e.g. "show me items in the Overdue view"), first call get_board_info to get the board views, find the matching view by name, then extract its filter field and pass it as the filters argument here.
get_column_type_info
ChatGPTRetrieves comprehensive information about a specific column type. Use fetchMode "schema" (default) to get the JSON schema definition from the API — use this before creating or updating columns (e.g. create_column) to understand structure, validation rules, and available properties for column settings. Use fetchMode "guidelines" to get only guidelines.filter and guidelines.aggregation for building items_page filters and board insights counts (no schema, no GraphQL round-trip).
get_form
ChatGPTGet a monday.com form by its form token. Form tokens can be extracted from the form's url. Given a form url, such as https://forms.monday.com/forms/abc123def456ghi789?r=use1, the formToken is the alphanumeric string that appears right after /forms/ and before the ?. In the example, the formToken is abc123def456ghi789.
get_full_board_data
ChatGPTINTERNAL USE ONLY - DO NOT CALL THIS TOOL DIRECTLY. This tool is exclusively triggered by UI components and should never be invoked directly by the agent.
get_graphql_schema
ChatGPTFetch the monday.com GraphQL schema structure including query and mutation definitions. This tool returns available query fields, mutation fields, and a list of GraphQL types in the schema. You can filter results by operation type (read/write) to focus on either queries or mutations.
get_monday_dev_sprints_boards
ChatGPTDiscover monday-dev sprints boards and their associated tasks boards in your account. Purpose: Identifies and returns monday-dev sprints board IDs and tasks board IDs that you need to use with other monday-dev tools. This tool scans your recently used boards (up to 100) to find valid monday-dev sprint management boards. What it Returns: - Pairs of sprints boards and their corresponding tasks boards - Board IDs, names, and workspace information for each pair - The bidirectional relationship between each sprints board and its tasks board Note: Searches recently used boards (up to 100). If none found, ask user to provide board IDs manually.
get_notetaker_meetings
ChatGPTRetrieve notetaker meetings with optional detailed fields. Use include_summary, include_topics, include_action_items, and include_transcript flags to control which details are returned. Use access to filter by meeting access level (OWN, SHARED_WITH_ME, SHARED_WITH_ACCOUNT, ALL). Defaults to OWN. Supports filtering by ids, search term, and cursor-based pagination.
get_sprint_summary
ChatGPTGet the complete summary and analysis of a sprint. Purpose: Unlock deep insights into completed sprint performance. The sprint summary content including: - Scope Management: Analysis of planned vs. unplanned tasks, scope creep - Velocity & Performance: Individual velocity, task completion rates, workload distribution per team member - Task Distribution: Breakdown of completed tasks by type (Feature, Bug, Tech Debt, Infrastructure, etc.) - AI Recommendations: Action items, process improvements, retrospective focus areas Requirements: - Sprint must be completed and must be created after 1/1/2025 Important Note: When viewing the section "Completed by Assignee", you'll see user IDs in the format "@user-12345678". the 8 digits after the @is the user ID. To retrieve the actual owner names, use the list_users_and_teams tool with the user ID and set includeTeams=false for optimal performance.
get_sprints_metadata
ChatGPTGet comprehensive sprint metadata from a monday-dev sprints board including: Data Retrieved: A table of sprints with the following information: - Sprint ID - Sprint Name - Sprint timeline (planned from/to dates) - Sprint completion status (completed/in-progress/planned) - Sprint start date (actual) - Sprint end date (actual) - Sprint activation status - Sprint summary document object ID Parameters: - limit: Number of sprints to retrieve (default: 25, max: 100) Requires the Main Sprints board ID of the monday-dev containing your sprints.
get_type_details
ChatGPTGet detailed information about a specific GraphQL type from the monday.com API schema
get_updates
ChatGPTGet updates (comments/posts) from a monday.com item or board. Specify objectId and objectType (Item or Board) to retrieve updates. For Board queries, you can filter by date range using fromDate and toDate (both required together, ISO8601 format). By default, Board queries return only board discussion. Set includeItemUpdates to true to also include updates on individual items. Returns update text, creator info, timestamps, and optionally replies and assets.
get_user_context
ChatGPTFetch current user information, account information, and their relevant items (boards, folders, workspaces, dashboards). Use this tool to: - Get context about who the current user is (id, name, title) - Get account info: plan tier, active member count, trial status, and active products - Get the number of active members in the account (returns active_members_count) - Discover user's favorite boards, folders, workspaces, and dashboards - Get user's most relevant boards based on visit frequency and recency - Get user's most relevant people based on interaction frequency and recency - Reduce the need for search requests by knowing user's commonly accessed items
list_automations
ChatGPTList all automations on a specific monday.com board, including their ids, titles, active state, and configuration. When NOT to use: Do not call this tool to get general board information unrelated to automations.
list_users_and_teams
ChatGPTTool to fetch users and/or teams data. MANDATORY BEST PRACTICES: 1. ALWAYS use specific IDs or names when available 2. If no ids available, use name search if possible (USERS ONLY) 3. Use 'getMe: true' to get current user information 4. AVOID broad queries (no parameters) - use only as last resort REQUIRED PARAMETER PRIORITY (use in this order): 1. getMe - STANDALONE 2. userIds 3. name - STANDALONE (USERS ONLY, NOT for teams) 4. teamIds + teamsOnly 5. No parameters - LAST RESORT CRITICAL USAGE RULES: • userIds + teamIds requires explicit includeTeams: true flag • includeTeams: true fetches both users and teams, do not use this to fetch a specific user's teams rather fetch that user by id and you will get their team memberships. • name parameter is for USER search ONLY - it cannot be used to search for teams. Use teamIds to fetch specific teams.
list_workspaces
ChatGPTList all workspaces available to the user. Returns up to 500 workspaces with their ID, name, and description.
manage_agent
ChatGPTFull lifecycle management for monday platform agents — create, read, update, delete, change state, and run. monday platform agents are user-built work orchestrators on monday.com — each has a profile (name, role, avatar), a goal, and a markdown execution plan. Agents in state ACTIVE can be triggered automatically. They are NOT local LangChain or MCP agents. ACTIONS (only pass fields that apply to the chosen action): - create: { action:"create", prompt, agent_model? } — AI-generated agent. Platform creates profile, goal, and plan from the prompt. - create_blank: { action:"create_blank", name?, role?, role_description?, avatar_url?, gender?, background_color?, user_prompt? } — manually defined agent. - get one: { action:"get", agent_id } - list owned: { action:"get" } - update: { action:"update", agent_id, name?, role?, role_description?, plan?, agent_model? } - delete: { action:"delete", agent_id } - activate: { action:"activate", agent_id } - deactivate: { action:"deactivate", agent_id } - run: { action:"run", agent_id } RULES: - "create_blank" with no fields creates a nameless blank agent — only do this intentionally. - "update" requires at least one of name/role/role_description/plan/agent_model. - "update", "delete", "activate", "deactivate", "run" all require "agent_id". - Created agents start INACTIVE. Follow with action:"activate" using the returned agent_id before they can be triggered. - ⚠️ DESTRUCTIVE — "delete" is permanent and irreversible. When the user refers to an agent by name, ALWAYS call action:"get" first to confirm the correct agent_id before deleting. - "run" is fire-and-forget. Returns trigger_uuid — no run-status query exists, treat successful enqueue as the only signal. - Agent state is one of ACTIVE, INACTIVE, ARCHIVED, or FAILED. DELETED only appears as the return value of action:"delete". USAGE EXAMPLES: - AI create: { "action": "create", "prompt": "Run my daily standup every weekday at 9am." } - Manual create:{ "action": "create_blank", "name": "Standup Bot", "role": "Project Manager", "gender": "female" } - Fetch one: { "action": "get", "agent_id": "42" } - List mine: { "action": "get" } - Rename: { "action": "update", "agent_id": "7", "name": "New Name" } - Activate: { "action": "activate", "agent_id": "7" } - Deactivate: { "action": "deactivate", "agent_id": "7" } - Run: { "action": "run", "agent_id": "7" } - Delete: { "action": "delete", "agent_id": "7" } RELATED TOOLS: - agent_catalog — browse available trigger types and skills before wiring them to an agent - manage_agent_triggers — manage which triggers fire this agent automatically - manage_agent_skills — manage which skills this agent can perform - manage_agent_knowledge — manage which boards/docs this agent has access to
manage_agent_knowledge
ChatGPTList, grant, update, or revoke a monday platform agent's access to boards and docs. An agent's "knowledge" is the set of monday.com boards and docs it can read from or write to during a run. - list: Returns all resources the agent currently has access to, including permission level and resource type. - add: Grants the agent access to a board or doc with the specified permission level. - update: Changes the permission level on a resource the agent already has access to. Call action:"list" first to confirm the resource_id exists. - remove: Revokes the agent's access to a board or doc entirely. Call action:"list" first to confirm the resource_id exists. Permission types: - READ: Agent can read data from the resource. - READ_WRITE: Agent can read and write data to the resource. USAGE EXAMPLES: - List: { "action": "list", "agent_id": "7" } - Add board access: { "action": "add", "agent_id": "7", "resource_id": "42", "scope_type": "BOARD", "permission_type": "READ" } - Update to read-write: { "action": "update", "agent_id": "7", "resource_id": "42", "scope_type": "BOARD", "permission_type": "READ_WRITE" } - Remove access: { "action": "remove", "agent_id": "7", "resource_id": "42", "scope_type": "BOARD" } RELATED TOOLS: - manage_agent — manage the agent entity itself (create, activate, deactivate, etc.) - manage_agent_triggers — manage which triggers fire this agent automatically - manage_agent_skills — manage which skills this agent can perform
manage_agent_skills
ChatGPTManage the full skill lifecycle for monday platform agents — create new skills in the catalog, attach skills to an agent, or detach them. Skills extend what an agent can do (e.g. sending emails, querying databases, posting to Slack). ACTIONS: - create: { name, content, description? } — creates a new custom skill in the account-wide catalog. The skill becomes available to all agents in the account. - add: { agent_id, skill_id } — attaches a skill to this agent. - remove: { agent_id, skill_id } — detaches a skill from this agent. WORKFLOW — attach an existing skill: 1. Call agent_catalog action:"list_skills" — find the skill_id of the skill to attach. 2. Call this tool action:"add" with agent_id and that skill_id. WORKFLOW — create a new skill and attach it: 1. Call this tool action:"create" with name and content — note the returned id. 2. Call this tool action:"add" with agent_id and that id directly (no catalog lookup needed). NOTE: There is no action to list which skills are currently attached to a specific agent — the platform does not yet expose that query. To browse all skills available in the account catalog, use agent_catalog action:"list_skills". USAGE EXAMPLES: - Create a skill: { "action": "create", "name": "Send Slack Message", "content": "## Instructions\nPost a message to a Slack channel.", "description": "Sends a message to Slack" } - Add a skill: { "action": "add", "agent_id": "7", "skill_id": "skill-abc-123" } - Remove a skill: { "action": "remove", "agent_id": "7", "skill_id": "skill-abc-123" } RELATED TOOLS: - agent_catalog action:"list_skills" — browse existing skills to find a skill_id before calling action:"add" - manage_agent_triggers — manage which triggers fire this agent automatically - manage_agent — manage the agent entity itself (create, activate, deactivate, etc.)
manage_agent_triggers
ChatGPTManage the triggers attached to a monday platform agent — triggers define WHEN the agent runs automatically. ACTIONS: - list: { agent_id } — returns active triggers with node_id, block_reference_id, name, field_summary. - add: { agent_id, block_reference_id, field_values? } — attaches a trigger type to the agent. - remove: { agent_id, node_id } — detaches a trigger instance by node_id (NOT block_reference_id). WORKFLOW — add a trigger: 1. Call agent_catalog action:"list_triggers" — note block_reference_id, field_schemas, and required_fields. 2. Collect required field values from the user (e.g. board_id, column_id). 3. Call this tool action:"add" with block_reference_id and field_values. Note: add returns only { success } — no node_id for the new instance. Call action:"list" afterward if you need the node_id. WORKFLOW — remove a trigger: 1. Call action:"list" to see active triggers and note the node_id of the instance to remove. 2. Call action:"remove" with that node_id. NOTE: Only triggers that can be added programmatically appear in the catalog. OAuth/3rd-party triggers (Slack, Gmail, Salesforce, etc.) require user setup in the monday.com UI — they will not appear in agent_catalog and cannot be managed here. USAGE EXAMPLES: - List triggers: { "action": "list", "agent_id": "7" } - Add trigger: { "action": "add", "agent_id": "7", "block_reference_id": "status-change-ref", "field_values": { "board_id": "42" } } - Remove trigger: { "action": "remove", "agent_id": "7", "node_id": "node-abc" } RELATED TOOLS: - agent_catalog action:"list_triggers" — discover available trigger types and their required field_values before calling action:"add" here - manage_agent_skills — manage which skills this agent can perform - manage_agent — manage the agent entity itself (create, activate, deactivate, etc.)
manage_automations
ChatGPTActivate, deactivate, or delete an existing monday.com automation. Requires an automation id. When the user refers to an automation by name, always call list_automations first to resolve the id — never guess or infer ids. Actions: - activate: enables a paused automation so it starts responding to its trigger. - deactivate: pauses an automation while preserving its definition. - delete: permanently removes an automation — irreversible. When intent is ambiguous ("stop", "turn off", "pause"), prefer deactivate over delete.
manage_workflows
ChatGPTActivate, deactivate, or delete an existing monday.com automation/workflow. Requires a workflow id. When the user refers to an automation by name, always call list_automations first to resolve the id — never guess or infer ids. Actions: - activate: enables a paused workflow so it starts responding to its trigger. - deactivate: pauses a workflow while preserving its definition. - delete: permanently removes a workflow — irreversible. When intent is ambiguous ("stop", "turn off", "pause"), prefer deactivate over delete. Terminology: "workflows" and "automations" are the same thing.
move_object
ChatGPTMove a folder, board, or overview in monday.com. Use position for relative placement based on another object, parentFolderId for folder changes, workspaceId for workspace moves, and accountProductId for account product changes.
plan_workflow
ChatGPTPlans one or more monday.com workflows for a described process using an AI agent. The agent analyzes the prompt, decides how many workflows are needed, identifies the required boards and columns, selects the correct trigger and action blocks (with their IDs), and returns a structured implementation plan with Mermaid diagrams and build notes for each workflow. Use this before create_workflow to understand how to break a complex process into individual workflows and which resources to create first. Parameters: - prompt: describe the full end-to-end process in plain English. Maximum 2000 characters. Returns: - result: structured markdown plan with workflow breakdowns, block IDs, resource definitions, and a list of assumptions and gaps
publish_workflow
ChatGPTPublishes a workflow draft, promoting it to the live version. Use this after create_workflow (and optionally update_workflow) to make the workflow active. Before publishing, the workflow is validated — if it has missing or misconfigured steps, publish will fail with a WORKFLOW_VALIDATION_FAILED error that includes structured issue details: which step failed, the issue type, and which inputs are missing. Use those details to guide the user on what to fix before retrying. Parameters: - workflowObjectId and workflowDraftId: returned by create_workflow — they identify which draft to publish. - shouldActivate: whether to activate the workflow immediately after publish. Defaults to true — pass false to publish without activating. Returns: - workflowObjectId: the workflow object ID (unchanged) - workflowLiveId: the new live version ID — this changes on every publish, so do not cache it Note: if directing the user to the workflow in the UI, the correct URL path is custom_objects/, not workflows/ — e.g. {account}.monday.com/custom_objects/{workflowObjectId}.
read_docs
ChatGPTGet information about monday.com documents. Supports two modes: MODE: "content" (default) — Fetch documents with their full markdown content. - Requires: type ("ids" | "object_ids" | "workspace_ids") and ids array - Supports pagination via page/limit. Check has_more_pages in response. - If type "ids" returns no results, automatically retries with object_ids. - Set include_blocks: true to include block IDs, types, and positions in the response — required before calling update_doc. - Blocks default to 25 per page. Use blocks_limit and blocks_page to paginate through long documents. - Set include_comments: true to fetch all comments and replies on the document. Each comment is enriched with anchor info (block_id, selection_from, selection_length) indicating which block and text range it's attached to. Use comments_limit to control how many comments per item (default 50). MODE: "version_history" — Fetch the edit history of a single document. - Requires: ids with the document's object_id (use the object_id field from content mode results, NOT the id field). - The object_id is the numeric ID visible in the document URL. - Returns restoring points sorted newest-first. Use version_history_limit to cap results (e.g., "last 3 changes" → version_history_limit: 3). - Use since/until to filter by time range. If omitted, returns full history. - Set include_diff: true to see what content changed between versions (fetches up to 10 diffs, may be slower). - Examples: - { mode: "version_history", ids: ["5001466606"], version_history_limit: 3 } - { mode: "version_history", ids: ["5001466606"], since: "2026-03-11T00:00:00Z", include_diff: true }
search
ChatGPTSearch within monday.com platform. Can search for boards, documents, forms, folders. For searching/listing specific users and teams, use list_users_and_teams tool. For account-level info (plan, member count, products), use get_user_context tool. For workspaces, use list_workspaces tool. For items and groups, use get_board_items_page tool. For groups, use get_board_info tool. IMPORTANT: ids returned by this tool are prefixed with the type of the object (e.g doc-123, board-456, folder-789). When passing the ids to other tools, you need to remove the prefix and just pass the number.
show-assign
ChatGPT[UI COMPONENT] Renders an interactive smart assignment interface visualization that the user can see and interact with. IMPORTANT: This is a UI DISPLAY tool - use it to RENDER visual components for the user to see and interact with. Do NOT use data-fetching tools when the user explicitly asks to "show", "display", "visualize", or "see" something visually. Helps assign tasks to the right people. Assignment suggestions are based on task details (like name) and person details (such as title, availability, etc).Use for requests to see or use an interactive assignment interface. Always show as much as data possible, while showing the person details like title etc. If you do not have the data available - use the list_users_and_teams tool.
show-battery
ChatGPT[UI COMPONENT] Renders an interactive battery/progress indicator visualization that the user can see and interact with. IMPORTANT: This is a UI DISPLAY tool - use it to RENDER visual components for the user to see and interact with. Do NOT use data-fetching tools when the user explicitly asks to "show", "display", "visualize", or "see" something visually. Use when user asks for: battery view, progress indicator, status distribution bar, completion percentage visualization, or Monday.com style status breakdown.
show-chart
ChatGPT[UI COMPONENT] Renders an interactive chart/graph visualization that the user can see and interact with. IMPORTANT: This is a UI DISPLAY tool - use it to RENDER visual components for the user to see and interact with. Do NOT use data-fetching tools when the user explicitly asks to "show", "display", "visualize", or "see" something visually. Use when user asks for: pie chart, bar chart, line graph, data visualization, or any graphical representation of numbers/statistics.
show-table
ChatGPT[UI COMPONENT] Renders an interactive table visualization that the user can see and interact with. IMPORTANT: This is a UI DISPLAY tool - use it to RENDER visual components for the user to see and interact with. Do NOT use data-fetching tools when the user explicitly asks to "show", "display", "visualize", or "see" something visually. Use when user asks to: display a board as table, show items in table format, view data in tabular layout, or see a Monday.com board visually. When asked to update an item, use the currently selected item ID (get it from the widget state, using tools like "get_widget_state") for deciding which item to update. If no item is selected, ask the user which item should be updated. After adding an update to an item, you MUST display the table AGAIN, even if the user did not ask you to. [IMPORTANT][FILTERING PRECONDITION]: IF using filters, you MUST call get_board_info(boardId) FIRST and use the returned boardContextToken.
update_doc
ChatGPTUpdate an existing monday.com document. Provide doc_id (preferred) or object_id, plus an ordered operations array (executed sequentially, stops on first failure). OPERATIONS: - set_name: Rename the document. - add_markdown_content: Append markdown as blocks (or insert after a block). Best for text, headings, lists, simple tables — no block IDs needed. - update_block: Update content of an existing text, code, or list_item block in-place. - create_block: Create a new block at a precise position. Use parent_block_id to nest inside notice_box, table cell, or layout cell. - delete_block: Remove any block. The ONLY option for BOARD, WIDGET, DOC embed, and GIPHY blocks. - replace_block: Delete a block and create a new one in its place (use when update_block is not supported). - add_comment: Create a new comment or reply on the document (doc-level, block-level, or text-selection). WHEN TO USE EACH OPERATION: - text / code / list_item → update_block. Use replace_block to change subtype (e.g. NORMAL_TEXT→LARGE_TITLE) - divider / table / image / video / notice_box / layout → replace_block (properties immutable after creation) - BOARD / WIDGET / DOC / GIPHY → delete_block only GETTING BLOCK IDs: Call read_docs with include_blocks: true — returns id, type, position, and content per block. BLOCK CONTENT (delta_format): Array of insert ops. Last op MUST be {insert: {text: "\n"}}. - Plain: [{insert: {text: "Hello"}}, {insert: {text: "\n"}}] - Bold: [{insert: {text: "Hi"}, attributes: {bold: true}}, {insert: {text: "\n"}}] - Mention user/doc/board: [{insert: {text: "Hey "}}, {insert: {mention: {id: 12345, type: "USER"}}}, {insert: {text: "\n"}}] — type is USER, DOC, or BOARD. id is numeric (user IDs from list_users_and_teams) - Inline column value: [{insert: {column_value: {item_id: 111, column_id: "status"}}}, {insert: {text: "\n"}}] - Supported attributes: bold, italic, underline, strike, code, link, color, background (not applicable to mention/column_value ops) IMAGE WITH ASSET: For asset-based images, use create_block with block_type "image" and asset_id (instead of public_url). add_markdown_content does NOT support asset images — for mixed content, alternate add_markdown_content (text) and create_block (image) operations in sequence. COMMENTS: - add_comment: Create a new comment or reply on the document. Three scopes: - Doc-level (no block_id): comment appears on the doc as a whole. - Block-level (block_id only): comment is anchored to a specific block. The block shows a comment indicator in the UI. - Text-selection (block_id + selection_from + selection_length): comment is anchored to a specific character range inside a text/code/list_item block. That text is highlighted with a comment marker. Block-level and text-selection comments only work on blocks with text content (text, code, list_item, title, quote). They do NOT work on: divider, page_break, table, layout, notice_box, image, video, or giphy blocks. Get block IDs from read_docs with include_blocks: true. Format body with HTML, not markdown. Use mentions_list for @mentions.
update_folder
ChatGPTUpdate an existing folder in monday.com
update_form
ChatGPTUpdate a monday.com form. Use the action field to specify the operation.
update_view
ChatGPTUpdate an existing board view (tab) — change its name, filter rules, or sort order. Provide only the fields you want to change. Omitted fields are left unchanged. Filter operators: any_of, not_any_of, is_empty, is_not_empty, greater_than, lower_than, between, contains_text, not_contains_text Example filter for people column: { "rules": [{ "column_id": "people", "compare_value": ["person-12345"], "operator": "any_of" }] } Example filter for status column: { "rules": [{ "column_id": "status", "compare_value": [1], "operator": "any_of" }] }
update_view_table
ChatGPTUpdate an existing table-type board view — change its name, filters, sort, tags, or table-specific settings (column visibility/order and group-by). Provide only the fields you want to change. Omitted fields are left unchanged. Filter operators: any_of, not_any_of, is_empty, is_not_empty, greater_than, lower_than, between, contains_text, not_contains_text Example settings.columns: { "column_properties": [{ "column_id": "status", "visible": true }], "column_order": ["name", "status", "date"] } Example settings.group_by: { "conditions": [{ "columnId": "status" }], "hideEmptyGroups": true }
update_workflow
ChatGPTUpdates an existing workflow draft using an AI agent. The agent interprets the prompt and applies structural changes to the workflow — creating, updating, or deleting steps. Pass clear, descriptive instructions and the agent will decide which operations to perform, then return a summary of what it did. Use this after create_workflow to build out the workflow step by step. You can call it multiple times on the same draft to iteratively refine the workflow. Parameters: - workflowObjectId and workflowDraftId: both returned by create_workflow — they identify which draft to update. - prompt: describe what you want to change in plain English (e.g. "Add a trigger that fires when an item is created on the Marketing board"). Maximum 2000 characters. Returns: - workflowObjectId: the workflow object ID (unchanged) - workflowDraftId: the draft version ID (unchanged) - result: agent response describing the changes made Note: if directing the user to the workflow in the UI, the correct URL path is custom_objects/, not workflows/ — e.g. {account}.monday.com/custom_objects/{workflowObjectId}. Note: the workflow runs only after it is published to live version.
update_workspace
ChatGPTUpdate an existing workspace in monday.com
workspace_info
ChatGPTThis tool returns the boards, docs and folders in a workspace and which folder they are in. It returns up to 100 of each object type, if you receive 100 assume there are additional objects of that type in the workspace.
