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koraynar

doc-extract-mcp

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    TDQS

    A4.4/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool serves a distinct purpose: listing, reading, metadata, chunking, validation, and saving. No overlap; even read_document and chunk_document are clearly differentiated (full content vs. splitting for context). The separation is clean and unambiguous.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (list_documents, read_document, chunk_document, validate_json, save_structured). The exception is document_info, which uses a noun_noun form instead of get_document_info, creating a minor deviation from the otherwise predictable scheme.

    Tool Count5/5

    Six tools is an appropriate, well-scoped count for a document extraction server. Each tool covers a necessary step in the extraction workflow without redundancy or bloat.

    Completeness5/5

    The tool set provides a complete lifecycle for document extraction: discovering files (list), retrieving content (read), obtaining metadata (info), handling long documents (chunk), validating structured output (validate), and persisting results (save). No obvious gaps; the scope is tightly defined and fully covered.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues