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aelaguiz

URL Fetch MCP

by aelaguiz

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    TDQS

    A3.5/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: fetch_image retrieves images, fetch_json retrieves and parses JSON, and fetch_url retrieves general text content. The descriptions reinforce these distinctions, making it easy for an agent to select the right tool based on the expected response format.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with 'fetch_' prefix and descriptive suffixes (image, json, url). This predictable naming scheme enhances usability and reduces cognitive load for agents.

    Tool Count4/5

    Three tools is a reasonable count for a URL fetching server, covering the main content types (images, JSON, text). It's slightly lean but well-scoped; adding tools for other formats like XML or binary data could improve completeness without being excessive.

    Completeness4/5

    The tools cover the core use cases for fetching web content: images, JSON, and general text. A minor gap exists for other structured data formats like XML or raw binary files, but agents can work around this by using fetch_url for text-based alternatives or requesting enhancements.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues