broad_search
ChatGPTSearch the web across many angles in one call — for comparisons, research, surveys, and questions with several distinct parts. Expands your question into multiple sub-queries and runs them concurrently. USE WHEN the question has multiple distinct parts or entities that one search cannot cover: - comparing vendors / products / pricing across many sources - literature reviews, market or landscape surveys - open-ended "what are the options for X" / "how do people solve Y" - a question that clearly decomposes into 3+ independent sub-questions - multi-angle questions about recent events ("what shipped across the industry this month") — set topic=news, do NOT loop news_search DO NOT USE for: - a single fact, entity, or document → use search - re-running a disappointing search → do NOT call broad_search twice; follow up with a targeted search or extract on the specific gaps - reading a page you already have the URL for → use extract - a straight A-vs-B comparison of two known entities → two targeted search calls are cheaper and more controllable COST: fans out into max_queries concurrent searches — roughly Nx the cost and notably higher latency than a single search. When in doubt, prefer search. QUERY: pass one natural-language question (max 500 chars). Resolve pronouns and references from the conversation first — "how does it compare to the other one" is a useless query. Do NOT pre-split into sub-queries; that is this tool's job. For broader coverage raise max_queries rather than calling repeatedly. Per-sub-query options (count, topic, language filter, domain / text filters, time window, highlight / full_content, media) match search and apply to every sub-query. RESULTS are grouped per sub-query and NOT deduplicated — the same URL may appear under several sub-queries. max_queries: 3-5 focused comparison (2-3 entities) | 5-10 multi-facet research | 10-20 landscape scan | 20-30 exhaustive survey For a single focused lookup use search; to read a specific page use extract. keywords: web search, search the web, look up, find information, research, compare, comparison, versus, alternatives, options, landscape, survey, market research, pricing, latest, current information, multi-part question
business_search
ChatGPTLook up a company or a person and get a structured card back, plus the ranked sources behind it. A company card carries the profile, identifiers, financial and stock metrics, key people and recent announcements; a person card carries the current position, career history and recent activity. Name two companies in one query and you get a card for each, same fields, ready to compare. Set entities.enable to false for a plain ranked list instead. USE FOR any question about a company or the people in one, including the numbers: revenue, net income, gross profit by quarter and year, share price and 52-week range, funding rounds and who led them, headcount and web traffic, key people and their titles, career history, recent announcements. Also "what does this company do", due diligence, and how two of them compare. The card already holds those figures, so a question like "what was their revenue last quarter" is one call here. Reaching for search means reading a dozen pages for numbers this returns directly, and far more context for the same facts. NOT FOR breaking coverage of an event — use news_search, which returns articles and storylines. NOT FOR general web pages — use search. Examples: "NVIDIA company overview", "Lisa Su AMD CEO", "compare Stripe and Adyen payment processing", "semiconductor supply chain outlook". keywords: company, business, due diligence, competitor, executive, CEO, founder, funding, valuation, revenue, earnings, stock, profile, who is, what does company do, compare companies
image_search
ChatGPTFind images on the web by text query OR by a reference image — returns ranked results (title, source page, dimensions, thumbnail, description, summary). In Beta; contact us to request beta access. Pass exactly one of: a text query, an image_url (a picture already on the web), or image_data (base64, for a picture you hold). Never more than one. Set topic to design for UI design references — each result then carries a structured style summary and an html_snippet for building/restyling frontends. Use this when the user wants pictures, photos, diagrams, screenshots, or visual references — not for general text web search. keywords: find images, image search, photos, pictures, screenshots, visual reference, diagram, icon, illustration, UI design, reference image
news_search
ChatGPTSearch recent news and return ranked articles (title, url, snippet) — current events, headlines, timely reporting. This is search locked to topic: news; same options as search (domain / text filters, language filter, time window, highlight / full_content, media) except topic, which is fixed to news. For a single news lookup this is the right tool. For a multi-angle news question ("what shipped across the industry this month", "how are different outlets covering X"), use broad_search with topic=news instead of looping news_search. keywords: news search, latest news, headlines, current events, breaking news, recent, today, this week, press coverage
place_search
ChatGPTFind real-world places and get each one back as a card: name, category, address, coordinates, phone, website, opening hours, status (open / closed / permanently closed), rating and review count. Pass latitude and longitude to search around a point — each card then carries its distance in metres — and radius to cap how far. When you only know the city, pass user_location instead. A query that names its own area ("ramen in Shinjuku") works without either. USE FOR anything with a location: "coffee shops near me", "family-friendly restaurants", "museums in Lisbon", "is this place open on Sunday", "what's their phone number". The cards answer these directly — search would return pages about places that then have to be read. Set places.max_reviews (0-5) when what reviewers actually wrote is the question — "is it good for groups", "do people complain about the wait". Off by default: review text is long, and rating plus review_count already come on every card. Set web_search.enable to true when the pages discussing these places matter too (round-ups, articles). It is off by default: the places are the answer here, and the pages cost context. Pass the caller's location when the question is relative to them ("near me", "nearby", "closest") or names no area at all — without it such a query is not limited to anywhere, and "near me" means nothing. A query that names its own area does not need it, and sending coordinates there is data the search will not use. keywords: places, near me, nearby, restaurant, cafe, coffee shop, bar, hotel, museum, shop, store, address, directions, opening hours, phone number, rating, reviews, local, map
pulse_search
ChatGPTWhen what is wanted is a web address rather than what is written on the page, this is the tool. It returns up to 10 ranked candidate URLs with titles — the single most likely one, the top three, or a shortlist to choose from, whichever the question calls for. Official docs and API references ("github docs", "uv documentation", "python list methods"), help centres ("how do I return an amazon order"), a site you know exists ("youtube"). Prefer it over search for those: one inference predicts the URLs instead of searching and ranking them, so it answers in about 10ms for a fraction of the cost. Reaching for search to look up an address is slower and costs more for the same answer. NOT FOR news or anything needing freshness — use news_search. NOT FOR a question that needs real retrieval across the open web, domain or language filters, or a time window — pulse has none of those parameters, sees no fresh content, and is not a cheaper substitute for search. mode decides what comes back. lite (the default) returns titles and URLs only. standard adds highlights, full page content and images at roughly twice the latency; highlight, full_content and include_images do nothing in lite. keywords: url lookup, find the site, official docs, api reference, documentation, help centre, homepage, where is, which url, candidate urls, top urls, quick lookup, destination, autocomplete
search
ChatGPTSearch the live web and return ranked results (title, url, snippet) — fast, fresh, real-time web search for one focused lookup. Set topic to news for news-focused results. Pass highlight to get a ranked snippet per result, or full_content to pull the cleaned page body inline (heavier — costs more context). Narrow with domain / text include-exclude filters, a language filter (ISO 639-1 codes), and a time window (published/crawled start_time/end_time, or a relative time_range). Set include_images to return image URLs per result. USE FOR a single focused lookup: one fact, one entity, one document. If the question spans several independent subtopics, load and use broad_search instead — a sequence of search calls is slower and gives worse coverage than one fan-out. To read a page you already have the URL for, use extract. keywords: web search, search the web, look up, find, check, fact, current information, latest, news, source, url, real-time
video_search
ChatGPTFind videos on the web by text query — returns ranked results (title, source page, cover image, duration, matching segment, authors, description). In Beta; contact us to request beta access. Pass a text query. Use this when the user wants to find videos, clips, footage, tutorials, or a specific moment within a video — not for general text web search. keywords: find videos, video search, clips, footage, youtube, tutorial video, watch, movie, video clip
broad_search
Claudeimage_search
Claudenews_search
Claudesearch
Claudevideo_search
Claude
