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Glama

web-scraping-mcp-server

wikipedia_lookup

Read-only

Look up a Wikipedia article and return its content.

Args: topic: Topic to look up (e.g. 'Artificial intelligence')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint and openWorldHint. The description adds that it 'return[s] its content' but does not detail behavior such as search disambiguation, content format, or error handling. This is acceptable given the annotations but not rich.

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?

The description is two lines, front-loaded with the primary purpose, and includes a minimal Args section. Every sentence earns its place with no unnecessary fluff.

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 simple one-parameter tool with annotations and a clear argument description, the description is mostly complete. The phrase 'return its content' is somewhat vague about output format, but it is sufficient for a basic lookup tool.

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

Parameters5/5

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

The schema has zero description coverage for the 'topic' parameter, but the description compensates with an Args section explaining 'Topic to look up (e.g. 'Artificial intelligence')'. This provides clear meaning and a concrete example.

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?

The description clearly states 'Look up a Wikipedia article and return its content', which is a specific verb+resource combination. It distinguishes itself from sibling tools like crawl_website and google_search by being explicitly Wikipedia-focused.

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

Usage Guidelines3/5

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

The description implies usage for Wikipedia lookups but does not explicitly mention when to use it instead of crawl_website or google_search, nor does it provide exclusions or alternative recommendations. The guidance is implicit rather than explicit.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct source: crawl_website for general sites, google_search for search results, and wikipedia_lookup for Wikipedia articles. There is no overlap or ambiguity in their purposes.

Naming Consistency5/5

All tool names follow a consistent lowercase_underscore style, with clear action-oriented naming (crawl_website, google_search, wikipedia_lookup). The convention is uniform across the entire server.

Tool Count5/5

With only 3 tools, the server is well-scoped for basic web retrieval tasks. Each tool fills a distinct role, and the count is within the ideal range for a focused MCP server.

Completeness4/5

The tool set covers core web scraping activities: crawling a site, searching the web, and retrieving a specific knowledge article. A minor gap is the lack of a standalone fetch tool for a single URL, but crawl_website with max_pages=1 can serve that purpose.

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