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AgentOps-AI

AgentOps MCP

Official
by AgentOps-AI

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    TDQS

    B3.2/5.0

    Scored across 4 tools

    Disambiguation3/5

    The tools have some overlap that could cause confusion, particularly between get_trace and get_complete_trace, which both retrieve trace data by trace_id, making their boundaries unclear. However, get_span is distinct in targeting span-level data, and auth is clearly separate for authentication purposes.

    Naming Consistency4/5

    The naming is mostly consistent with a verb_noun pattern (e.g., get_complete_trace, get_span, get_trace), but auth deviates as a standalone verb without a noun, which is a minor inconsistency. Overall, the naming is readable and follows a predictable style.

    Tool Count4/5

    With 4 tools, the count is slightly low but reasonable for a server focused on trace and span retrieval, as it covers core operations without being overly thin. It could benefit from additional tools like creating or updating traces to be more comprehensive, but it's not severely lacking.

    Completeness2/5

    The tool surface is significantly incomplete for an observability domain like AgentOps, as it only provides read operations (get) for traces and spans, with no create, update, delete, or search capabilities. This will likely cause agent failures when trying to perform full lifecycle management of monitoring data.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues