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@zeromodern/mcp-server-0mod

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    TDQS

    B3.1/5.0

    Scored across 11 tools

    Disambiguation4/5

    Most tools target distinct tasks (scraping, redaction, compression, sentiment, embeddings), and descriptions clarify their purposes. The only near-overlap is between embed_text and embed_multilingual, but their language/vector-size differences make them distinguishable.

    Naming Consistency2/5

    Tool names mix verb-noun patterns (embed_text, summarize_text), noun-compounds (dex_price_summary, x_sentiment), and adjective-noun/cryptic forms (stealth_dom, rag_shrink, airgap_scrub). No consistent naming convention is used across the set.

    Tool Count4/5

    With 11 tools, the count is within a reasonable range and not excessive. However, the tools span diverse domains (web/data, cleaning, AI analysis), giving the set a somewhat scattershot feel rather than a focused toolkit.

    Completeness2/5

    There is no clear domain or lifecycle model; the tools are a random assortment of utilities. Obvious operations are missing (e.g., search, translation, storage) that would make workflows coherent, and the breadth of unrelated features prevents a sense of complete coverage.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources