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AiAgentKarl

Agent Feedback Loop

by AiAgentKarl
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Python
Remote

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    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

    A3.8/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: get_best_tools retrieves top-rated tools, get_tool_quality provides metrics for a specific tool, get_trending_tools shows recent trends, and report_tool_result submits feedback. There is no overlap in functionality, making tool selection unambiguous.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with underscores (e.g., get_best_tools, get_tool_quality, get_trending_tools, report_tool_result). The naming is predictable and readable throughout the set.

    Tool Count4/5

    With 4 tools, the count is reasonable for a feedback loop server, covering core operations like querying and reporting. It might feel slightly thin if advanced features like analytics or bulk operations are needed, but it's well-scoped for basic functionality.

    Completeness4/5

    The tool set covers key aspects of a feedback system: retrieving best tools, checking specific tool quality, viewing trends, and submitting reports. A minor gap is the lack of tools for managing or aggregating feedback data, but agents can work around this with the provided operations.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources