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mirza1272

wordsmith-mcp

by mirza1272

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    TDQS

    A4.3/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: statistics, summarization, keywords, readability, case conversion, entity extraction, and diffing. While several tools analyze text, their outputs are different enough that an agent should not confuse them.

    Naming Consistency4/5

    Most tools follow a verb_noun pattern such as summarize_text, extract_keywords, convert_case, and diff_texts. text_stats and readability are minor deviations that are still readable and predictable.

    Tool Count5/5

    Seven tools is a well-scoped size for a text analysis and transformation server. Each tool covers a distinct utility without unnecessary overlap or bloat.

    Completeness4/5

    The toolkit covers the core text-analysis workflow: profiling, summarizing, keyword extraction, readability, transformations, entity extraction, and diffing. Minor gaps like sentiment analysis or language detection are common additions but not clearly required for the stated purpose.