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CodeLogic

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by lineai-intelligence
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 8 tools

    Disambiguation4/5

    The tools are largely distinct: method-impact and database-impact target specific impact scenarios, while the graph-* tools handle search, traversal, path explanation, validation, and ownership lookup. There is minor potential confusion between graph-impact and graph-validate-change-scope since both analyze change effects, but their descriptions clarify different entry points.

    Naming Consistency4/5

    All tools share a consistent codelogic- prefix and hyphenated convention, making the family recognizable. However, the second segment mixes styles: some are noun phrases (graph-capabilities, graph-owners) and others are verb-oriented (graph-search, graph-path-explain), so the pattern is not fully uniform.

    Tool Count5/5

    Eight tools is well-scoped for a CodeLogic analysis server: two domain-specific impact analyzers, one general graph impact/search pair, plus metadata/owners lookups. Each tool covers a distinct capability without redundancy.

    Completeness5/5

    The surface covers the core workflows: impact analysis by method, database entity, and generic graph traversal, plus search, path explanation, ownership lookup, and capability discovery. This is a coherent analysis-focused API with lifecycle operations not needed for the domain.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

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