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automation-health-mcp

by chainwright
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Python

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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

    A3.9/5.0

    Scored across 7 tools

    Disambiguation4/5

    Mostly distinct purposes: list_jobs lists, find_failing_jobs filters, check_log_freshness and check_recent_errors both target logs but with different focus (staleness vs errors), and audit is an umbrella. check_log_freshness vs check_recent_errors could cause some confusion since both deal with recent log analysis, but their descriptions are clear enough.

    Naming Consistency4/5

    Consistent verb_noun pattern: list_jobs, find_failing_jobs, check_log_freshness, check_recent_errors, check_endpoint, find_stale_placeholders, audit. The verbs vary somewhat (list/find/check/audit) but all follow the same shape and audit as a single verb is a reasonable deviation as the umbrella command.

    Tool Count5/5

    Seven tools is a well-scoped set for a system health/automation monitoring server. Each tool covers a distinct monitoring concern: jobs, logs, endpoints, placeholders, and a meta-tool that aggregates. No bloat, no obvious filler.

    Completeness4/5

    The surface covers the main health-monitoring concerns: job listing, failure detection, log freshness, log error scanning, endpoint verification, and placeholder detection, plus an aggregate audit. Minor gaps exist (e.g., no tool to trigger or retry a job, no alerting mechanism exposed), but the core monitoring workflow is complete.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources