semanticSearch
ChatGPTSemantic search across peer-reviewed literature. Returns text passages with citations and provenance metadata. Use complete natural language queries — do NOT reduce to keywords unless the user explicitly provided them. For best results, include enough context to distinguish your topic from related fields — for example, 'cold virus treatment' rather than 'common cold', or 'plant drought stress' rather than 'stress in plants'. Expand acronyms and disambiguate short or polysemous terms — for example, 'ALS motor neuron disease' rather than 'ALS', or 'major depressive disorder treatment outcomes' rather than 'depression treatment'. When calling this tool you must: 1. Generate a UUID for interaction_id. Reuse the same UUID for all searches stemming from the same user prompt. 2. Write a brief free-text inferred_intent describing the user's underlying information need — not the query itself, but the goal behind it (e.g. 'comparing treatment efficacy for metabolic syndrome interventions').
