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micaelmalta

Fetch MCP Server

by micaelmalta

web_search

Read-onlyIdempotent

Search the web using DuckDuckGo and return results as a markdown list to reduce token consumption for LLM contexts.

Instructions

Search the web using DuckDuckGo and return results as a markdown list.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query
regionNoRegion code for results (e.g. 'us-en', 'wt-wt' for global)wt-wt
max_resultsNoNumber of results to return

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare read-only, idempotent, and non-destructive behavior. The description adds specific behavioral details: the use of DuckDuckGo as the engine and the markdown list output format, which go beyond the generic annotation hints.

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?

A single, front-loaded sentence conveys the action, method, and output format without any wasted words.

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 a detailed parameter schema, informative annotations, and an output schema present, the description is sufficiently complete for a straightforward search tool. It lacks explicit usage guidance versus alternatives, but that gap is minor.

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?

The input schema has 100% parameter coverage with descriptions for query, region, and max_results. The tool description does not add further parameter meaning, so the 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?

The description clearly states the tool performs a web search via DuckDuckGo and outputs a markdown list, which distinguishes it from sibling fetch tools (e.g., smart_fetch, browser_fetch) that retrieve specific URLs.

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 web searches but does not explicitly contrast with sibling tools or state when to use this tool over fetch-based tools. No exclusions or alternative recommendations 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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