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Crypto, web, finance and app data tools

Wikipedia Summary

wikipedia_summary

Lead summary of the Wikipedia article that best matches a topic, in any language edition: title, short description, summary paragraph, image, coordinates, Wikidata id and link. Use for quick factual background on a person, place, company or concept.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "topic": "<topic>"
    },
    "name": "wikipedia_summary"
  }
}

Input Schema

NameRequiredDescriptionDefault
langNoen
topicYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries full behavioral burden. It helpfully discloses that the tool resolves the best-matching article (implying fuzziness/heuristic matching) and that results come from any language edition, but it is silent on what happens when no match or a disambiguation page is hit, and says nothing about rate limits or caching.

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, front-loaded with what is returned, then the usage cue. No filler and nothing wasted; the field enumeration is compact and useful.

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?

For a two-parameter read tool with an output schema and one required argument, this is close to complete. The minor gap is that the enumerated return fields duplicate the output schema, while genuinely useful behavior (no-match fallback, lang code format) is left out.

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 0%, so the description must compensate for two undocumented parameters. It does clarify that `topic` is a fuzzy match target and that `lang` selects a language edition, but it never specifies the expected code format (ISO 639-1) or the default behavior, leaving some ambiguity.

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+resource: returns the lead summary of the Wikipedia article best matching a topic, and enumerates the returned fields (title, description, summary, image, coordinates, Wikidata id, link). The scope is unambiguous against the large sibling set — no other tool claims Wikipedia article summaries.

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?

"Use for quick factual background on a person, place, company or concept" gives a clear trigger and names the entity types it works well for. It does not name an alternative for cases where overview or deep research is needed (e.g. research_papers, read_web_page), so it falls short of explicit when-not guidance.

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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