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knowledge_wiki

Get the English Wikipedia lead summary for any topic — title, description, extract, thumbnail, and Wikidata ID. Ideal for knowledge lookup and fact grounding.

Instructions

[costs $0.003 USDC per call] Get the English Wikipedia summary for a topic. Wikipedia summary API: the lead summary of any English Wikipedia article — title, one-line description, extract paragraph, thumbnail, canonical URL, and Wikidata item id; disambiguation pages labeled via 'kind'. Titles case-sensitive; spaces or underscores accepted. Content CC BY-SA 4.0 with attribution in meta.attribution of every response. Use for knowledge lookup, entity enrichment, and fact grounding by agents. Cached up to 24 hours.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYesArticle title (e.g. 'Alan Turing' or 'Alan_Turing').
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses cost, caching, attribution, and content license. No annotation provided, so description carries full burden. Missing rate limits or error details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Packed with useful info, front-loaded. Slightly verbose but each sentence adds value. Could be trimmed slightly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Describes return fields, licensing, caching, and attribution. No output schema, so description compensates well. Lacks error handling details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema provides basic description; description adds case-sensitivity and space/underscore flexibility. Adds meaningful value beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states 'Get the English Wikipedia summary for a topic' and lists response components. Distinct from sibling tools which cover unrelated domains.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit use cases ('knowledge lookup, entity enrichment, fact grounding') but no direct mention of alternatives or when not to use. Implicitly clear due to sibling diversity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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