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assessorai-dados

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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

    A3.7/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct task: metadata lookup, source enumeration, search, text paging, related-item discovery, release manifest retrieval, and download URL resolution. Even the release/download pair is clearly separated by manifest metadata versus asset URL.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern (get, list, search, read, find). The naming style is uniform and predictable across the entire set.

    Tool Count5/5

    Seven tools is well-scoped for a read-only legislative data API. Each tool covers a meaningful part of the workflow without redundancy or bloat.

    Completeness5/5

    The tool surface covers the full read-only lifecycle: discovery via search, metadata retrieval, full-text access, related-proposition exploration, and dataset distribution. Dependencies between tools are coherent, with no obvious dead ends for common workflows.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources