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hr-eli-mcp

by matematicsolutions
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.1/5.0

    Scored across 4 tools

    Disambiguation4/5

    hr_get_act and hr_get_text are clearly separated as metadata versus full HTML text, and hr_list_issue handles discovery by gazette issue. hr_coverage is distinct as a meta-tool for gaps. The only minor risk is that hr_get_act and hr_get_text both accept ELI coordinates, but their descriptions resolve the boundary.

    Naming Consistency4/5

    Tools share a consistent hr_ prefix and mostly follow a verb_noun pattern: hr_list_issue, hr_get_act, hr_get_text. hr_coverage breaks the pattern by using a noun-only name, though it is still understandable and consistent in style.

    Tool Count5/5

    Four tools is an appropriate, focused scope for an ELI legal document connector. Each tool performs a distinct retrieval or coverage function, and none feel redundant or missing as a core operation.

    Completeness4/5

    The server covers the core workflow: discovering documents by issue, fetching metadata, and retrieving full text. A full-text or title search is absent, but hr_coverage explicitly documents known gaps and fallback sources, which mitigates the limitation.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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