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Search Wikidata Entities

knowledge.wikidata.search
Read-onlyIdempotent

Search Wikidata's database of over 100 million structured entities including people, companies, places, and concepts. Retrieve entity ID, label, and description for any query to use with related tools for full details.

Instructions

Search 100M+ structured entities in Wikidata — people, companies, places, concepts. Returns entity ID, label, description. Use IDs with wikidata.entity for full details. CC-0 public domain (Wikidata)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query (e.g. "Tesla", "Barack Obama", "JavaScript", "Mount Everest")
languageNoLanguage code for labels (e.g. "en", "de", "fr", "ja"). Default: enen
limitNoMax results (1-20, default 10)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior3/5

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

Annotations already declare readOnly, idempotent, and open world hints. Description adds public domain licensing (CC-0) but does not disclose other behavioral traits like rate limits, pagination, or data freshness. No contradiction with annotations.

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

Conciseness5/5

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

Two sentences, no redundancy. First sentence communicates scope, scale, and returns. Second sentence provides cross-reference and licensing. Front-loaded with key information.

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

Completeness5/5

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

Description covers purpose, scale, return fields, and licensing. For a straightforward search tool with an output schema, this is sufficient context. No gaps identified.

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

Parameters3/5

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

Input schema has 100% description coverage, so the schema already documents parameters. Description adds no new parameter information beyond what schema provides, maintaining baseline score.

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?

Description clearly states the tool searches Wikidata entities (100M+), lists example entity types (people, companies, places, concepts), and specifies returns (entity ID, label, description). Differentiates from sibling tool knowledge.wikidata.entity by mentioning 'Use IDs with wikidata.entity for full details'.

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?

Explicitly advises to use retrieved IDs with knowledge.wikidata.entity for full details, which guides tool selection. Does not explicitly state when not to use, but context is clear.

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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