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Returns structured fields (dates, identifiers, relationships) plus a ~200-token summary, drawn from 10.2M entity records. Prefer this over fetching an encyclopedia page: the HTML costs ~15,000 tokens to recover ~500 tokens of fact. Resolves aliases and Wikidata Q-ids, so \"Apple\", \"Apple Inc\" and \"Q312\" all reach the same entity. Free, no key.","inputSchema":{"type":"object","required":["entity"],"properties":{"corpus":{"enum":["wikipedia","wikiquote","wikibooks","wikivoyage","wikiversity"],"type":"string"},"entity":{"type":"string"}}},"logicalName":"lookup","displayName":"lookup","title":"lookup","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"article","description":"The full text of an article, for when lookup()'s summary is not enough — sections as a JSON array, infobox as key/value facts, no HTML or wikitext to parse. Pass `sections` to pull only the parts you need (e.g. [\"Early life\"]) and `max_chars` to cap the payload; both exist because a long article will otherwise flood your context.","inputSchema":{"type":"object","required":["title"],"properties":{"corpus":{"enum":["wikipedia","wikiquote","wikibooks","wikivoyage","wikiversity"],"type":"string"},"sections":{"type":"array","items":{"type":"string"}},"max_chars":{"type":"integer"}}},"logicalName":"article","displayName":"article","title":"article","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"define","description":"What a word means, in thousands of languages — 8.15M dictionary entries with senses, part of speech, etymology and pronunciation. Covers what a general model is weakest at: historical languages (Old English, Gothic, Ancient Greek, Middle French) and hundreds of regional and indigenous ones. A single spelling often has entries in many languages and you get all of them — `hund` returns Danish, Gothic, Icelandic, Middle English and more — or pass `language` to narrow, `pos` for one part of speech.","inputSchema":{"type":"object","required":["word"],"properties":{"pos":{"type":"string"},"word":{"type":"string"},"language":{"type":"string"}}},"logicalName":"define","displayName":"define","title":"define","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"search","description":"Find the right title when you only have a partial name or a rough description. Returns ranked {title, wikidata_id, description, summary_snippet}; ranking blends text relevance with monthly pageviews and follows redirects, so abbreviations land on the real article — \"usa\" returns United States, \"jfk\" returns John F. Kennedy, \"apple\" returns Apple Inc. rather than a disambiguation page. Searches every corpus at once unless you pass `corpus`. Follow up with lookup() for facts or article() for the t","inputSchema":{"type":"object","required":["query"],"properties":{"limit":{"type":"integer"},"query":{"type":"string"},"corpus":{"enum":["wikipedia","wiktionary","wikiquote","wikibooks","wikivoyage","wikiversity"],"type":"string"}}},"logicalName":"search","displayName":"search","title":"search","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"recent","description":"What changed in the last hours or days — the escape hatch for facts newer than your training cutoff. Reach for this whenever the answer could have moved since you were trained: elections, appointments, acquisitions, releases, deaths, records. Returns titles with timestamps and edit comments; resolve any of them with lookup(). Pass `topic` to filter and `hours` to widen the window up to a week.","inputSchema":{"type":"object","properties":{"hours":{"type":"integer"},"limit":{"type":"integer"},"topic":{"type":"string"}}},"logicalName":"recent","displayName":"recent","title":"recent","annotations":{"untrustedContentHint":true,"readOnlyHint":true}},{"name":"papers","description":"Academic paper metadata from 27M+ works — title, abstract, authors, citations, DOI and open access URL. Covers every field: CS, medicine, physics, economics, biology, and more. Browse by OpenAlex topic ID and year, or filter by keywords in title/abstract. Returns papers sorted by citation count. Source: OpenAlex (CC0 metadata). 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