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mcp-ai-workforce

mcp-ai-workforce

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    TDQS

    A4.1/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a distinct function: workforce_delegate executes tasks, workforce_audit_diff reviews changes, and workforce_models_status checks configuration. There is no meaningful overlap or ambiguity between them.

    Naming Consistency4/5

    All tools share a consistent workforce_ prefix and snake_case style. The final word pattern varies slightly—verb-object, bare verb, and noun phrase—but the naming remains predictable and readable.

    Tool Count5/5

    Three tools is well within the ideal well-scoped range, and each tool supports a clear step in the delegate-audit-status workflow. None feel redundant or unnecessary.

    Completeness4/5

    The server covers a coherent end-to-end workflow: readiness check, task delegation, and post-work audit. It lacks live progress tracking or cancellation, but the timeout and final summary provide reasonable workarounds.