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rechedev9
by rechedev9

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    TDQS

    A3.6/5.0

    Scored across 5 tools

    Disambiguation3/5

    Most tools are distinct, but validate_data_layer and debug_data_layer have significant overlap: both analyze a data layer for errors and issues. The descriptions differ in focus (schemas/best practices vs. common issues/missing variables), but an agent could easily confuse which to use for troubleshooting.

    Naming Consistency5/5

    All five tool names follow a consistent verb_noun snake_case pattern: validate_, generate_, debug_, parse_, generate_. The pattern is predictable and clearly conveys the action and target.

    Tool Count5/5

    Five tools is well-scoped for a data layer/tracking specification utility server. Each tool covers a distinct phase (parse, validate, debug, generate docs, generate code) without unnecessary bloat.

    Completeness4/5

    The toolset covers a complete workflow: parse raw specs, validate/debug data layers, and generate documentation or code. Minor gaps exist, such as no tool to edit or transform an existing data layer definition directly, but the core lifecycle is well represented.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues