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Anandb71

bleurs

by Anandb71
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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

    A4.1/5.0

    Scored across 3 tools

    Disambiguation4/5

    The tools have distinct purposes: surface provides API signatures, context expands to include dependency closure, and verify checks for invalid references. There is slight overlap between surface and context (both return APIs), but descriptions make the difference clear.

    Naming Consistency3/5

    All names are single lowercase verbs (surface, context, verify), which is a consistent style, but they do not follow a more informative verb_noun pattern. The naming is predictable in form but somewhat vague in conveying domain.

    Tool Count4/5

    Three tools is at the lower end of the ideal range but each tool is substantial and covers a distinct need. The count feels appropriate for a focused Python code intelligence server.

    Completeness4/5

    The domain of Python code analysis is well covered: surface for understanding API, context for editing with dependencies, and verify for validating references before writing. Minor gaps exist (e.g., no explicit search or exploration tool), but they are not critical for the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources