Skip to main content
Glama

CutGPT Research & Fact-Check

Look up Wikipedia

wikipedia_lookup
Read-onlyIdempotent

Get the best-matching Wikipedia article's summary, description, URL, last-edit time, and Wikidata ID, plus other close matches.

Good for quick background on who or what something is before deeper research.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesPerson, place, organization, event, or concept.
languageNoWikipedia language code, e.g. 'en', 'es', 'de'.en

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare read-only, idempotent, non-destructive, open-world behavior, so the safety profile is covered. The description adds the notable behavioral detail that non-exact matches are also returned ('plus other close matches'), but says nothing about rate limits or result ambiguity handling, and return fields are already implied by the output schema.

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?

Two short sentences, front-loaded with the return payload, then the usage note. Slightly awkward wrapping ('plus other close matches') but no wasted sentences.

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?

With an output schema present, the description needn't enumerate return values, and annotations carry the safety semantics. It covers purpose and when-to-use adequately; the only minor gap is that the language parameter and multi-language behavior are never mentioned in prose.

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?

Schema description coverage is 100%, with both 'topic' and 'language' fully documented in the schema, so the description cannot add much. It only loosely characterizes a topic ('who or what something is') and never mentions the language parameter, so baseline 3 is appropriate.

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?

States a specific verb and resource ('Get the best-matching Wikipedia article's summary...') and enumerates what is returned, which is enough to distinguish it from siblings like read_url or search_papers that target different sources.

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?

Gives clear context ('quick background on who or what something is before deeper research'), which implicitly frames it as a fast first-pass tool. It does not name an explicit alternative or an exclusion condition, so it falls short of a 5.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources