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alissonf216

parliamentary-nlp-mcp

by alissonf216
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Python
Remote

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    TDQS

    A4.9/5.0

    Scored across 1 tool

    Disambiguation5/5

    With only one tool, there is no possibility of confusion. The tool's purpose is clearly defined and covers the entire domain of auditing parliamentary speech.

    Naming Consistency5/5

    The single tool name 'audit_parliamentary_speech' follows a clear verb_object pattern. Although there is only one example, the naming is consistent with common conventions.

    Tool Count3/5

    The server has just one tool, which is on the thin end of the range. For a domain like parliamentary speech analysis, one might expect additional tools (e.g., for summarizing or extracting topics), but for the stated auditing purpose, a single tool can be acceptable.

    Completeness5/5

    The tool provides a comprehensive audit result including classification, confidence, entropy, and a human-review flag, covering all stated use cases (analyse, moderate, classify, safety-check). There are no obvious dead ends within the tool's intended scope.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources