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URL Text Fetcher MCP Server

by billallison

brave_search_and_fetch

Search the web with Brave Search and retrieve text content from top results to gather information from multiple sources in one operation.

Instructions

Search the web using Brave Search and automatically fetch content from the top results.

Args: query: The search query max_results: Maximum number of results to fetch content for (default: 3, max: 10)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions 'automatically fetch content from the top results,' which hints at behavior, but it lacks details on rate limits, authentication needs, error handling, or what 'fetch content' entails (e.g., full text, summaries). This is a significant gap for a tool with no annotation coverage.

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 appropriately sized and front-loaded, with the core purpose in the first sentence and parameter details in a structured 'Args' section. Every sentence adds value without redundancy, making it efficient and easy to parse.

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

Completeness3/5

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

Given no annotations, 0% schema description coverage, but an output schema exists, the description is moderately complete. It covers the purpose and parameters but lacks behavioral details like permissions or rate limits. The output schema likely handles return values, so the description doesn't need to explain those, but it should address other contextual gaps.

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 description coverage is 0%, so the description must compensate. It adds meaning by explaining that 'query' is for search and 'max_results' controls how many top results to fetch content for, including default and max values. This clarifies beyond the basic schema, though it doesn't detail parameter formats or constraints fully.

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 the tool's purpose with specific verbs ('search the web using Brave Search' and 'fetch content from the top results'), and it distinguishes itself from siblings like 'fetch_page_links' and 'fetch_url_text' by combining search with content fetching in one operation.

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?

The description implies usage for web search and content retrieval, but it does not explicitly state when to use this tool versus alternatives like 'test_brave_search' (which might be for testing) or 'fetch_url_text' (which requires a URL). No exclusions or specific contexts are provided.

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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