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Fed Speech MCP

by zsun4work
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Python
Hybrid

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    TDQS

    A3.7/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap. The tools cover different access patterns (latest, specific, by speaker, by type, statistics, refresh, search) without ambiguity, making it easy for an agent to select the right tool for any query about Federal Reserve speeches.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with clear, descriptive names. The naming scheme is uniform throughout (e.g., get_latest_speeches, get_speech, get_speeches_by_speaker), making it predictable and easy to understand the tool's function from its name alone.

    Tool Count5/5

    With 7 tools, the server is well-scoped for its domain of accessing Federal Reserve speeches. Each tool serves a specific and necessary function, covering retrieval, filtering, statistics, updating, and search operations without being overly sparse or bloated.

    Completeness5/5

    The tool set provides complete coverage for the domain, including CRUD-like operations (get, refresh), filtering by various attributes (speaker, type, date), search functionality, and statistical insights. There are no obvious gaps that would hinder an agent from performing typical speech-related tasks.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources