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AgenticSettle Verify

Official
by agenticsettleio
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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

    A4.7/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: verify_output submits content for verification, check_verdict retrieves a specific result, get_insights tracks agent performance, list_verifications searches records, submit_feedback and submit_appeal handle user-side actions. No two tools have overlapping functionality.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern (verify_output, check_verdict, get_insights, list_verifications, submit_feedback, list_criteria_templates, get_manager_alerts). The naming is predictable and clearly conveys the action and resource involved.

    Tool Count5/5

    With 9 tools, the set is well-scoped for the domain of AI output verification. Each tool serves a necessary function in the verification, retrieval, feedback, and appeal lifecycle without redundancy or bloat.

    Completeness5/5

    The tool surface covers the full verification lifecycle: submitting output, retrieving results, listing history, checking appeals, tracking agent performance, providing feedback, and browsing templates. No obvious gaps exist for the stated purpose of verifying AI-generated content.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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