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      A local, read-only MCP server that provides AI coding agents with structural evidence about a repository, including dependency analysis and impact assessment, while naming the boundary of every answer without any LLM calls.
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      -
    • A
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    TDQS

    A3.7/5.0

    Scored across 1 tool

    Disambiguation3/5

    With only one exposed tool there is no cross-tool selection risk, but that single tool internally multiplexes several distinct operations (find_analogues, explain_deviation, check_conformance, show_family, inspect_readiness, read_plan), and the boundary between them is only conveyed through a very dense prose description. An agent must parse a long block to know which mode to invoke and when, which is effectively ambiguity pushed inside one tool.

    Naming Consistency4/5

    The single name repogrammar_context is readable and uses a consistent snake_case prefix_noun convention. There is no pattern to violate with only one tool, but the namespace-prefixed form is coherent and predictable for any future additions.

    Tool Count2/5

    One tool for a surface that describes at least six distinct operations (pattern-family discovery, deviation explanation, conformance checks, family display, readiness/scoped-readiness inspection, change planning) plus setup/resync/autosync behavior is under-factored. The mega-tool approach forces mode dispatch and hidden branching, making the count too thin for the apparent scope.

    Completeness3/5

    The read-only analysis domain is partially covered: discovery, explanation, conformance, readiness, and planning are all reachable, and source-hydration is intentionally gated. However setup/resync/autosync are referenced only as behaviors of the same tool rather than distinct operations, and there is no explicit enumeration or listing of family ids beyond follow-up handles, leaving lifecycle steps implicit.

    Maintenance

    ActivityActive
    ResponsivenessNo issues