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intesta-mcp

by agentlabbusiness
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Python
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    TDQS

    A3.9/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool targets a distinct step in the trust workflow: discovery via search_registry, trust assessment via check_trust, fact retrieval via get_facts, grounded Q&A via ask_entity, and interpretation via trust_ladder. Boundaries are clear, and descriptions explicitly guide when to use each tool.

    Naming Consistency4/5

    Most names use a consistent verb_noun snake_case pattern (search_registry, check_trust, get_facts, ask_entity). The one outlier is trust_ladder, which is noun-based rather than verb-based, but the overall convention remains readable and predictable.

    Tool Count5/5

    Five tools is well-scoped for a trust registry lookup server. Each tool has a clear purpose and no unnecessary redundancy, supporting a focused read-oriented workflow.

    Completeness4/5

    The toolset covers the core lifecycle: find entities, check trust, read facts, ask grounded questions, and explain the trust ladder. A minor gap is the lack of an explicit tool to verify returned passport signatures or hashes offline, though the descriptions suggest this can be done externally.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources