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observability-aiops

by AIops-tools
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Python
Remote

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    Deploy Server
    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

    B3.3/5.0

    Scored across 39 tools

    Disambiguation3/5

    Several tool pairs overlap: list_targets and target_scrape_health both report scrape health; alertmanager_alerts and firing_alerts both surface alerts; loki_query and loki_tail_errors both pull log lines. Descriptions differentiate them, but the boundaries are not always obvious, and some redundancy exists.

    Naming Consistency2/5

    Tool names mix verb-first (list_*, create_*, delete_*) with noun-first (firing_alerts, prometheus_config_status, target_scrape_health). Acronyms like RCA and inconsistent phrasing (alert_noise_and_flap_analysis vs rule_health) break any predictable pattern, making the set feel inconsistent.

    Tool Count2/5

    39 tools is excessive for a single server, well above the 25-tool threshold. While the scope spans Prometheus, Alertmanager, Grafana, Loki, and analysis, a set this large strains agent navigation and could be split into per-signal servers.

    Completeness3/5

    Core read and analysis operations are strong, but write coverage has gaps: no create_dashboard (only update/delete), no delete annotation, and no update for silences (only create/expire). These missing lifecycle operations leave some workflows with dead ends, though the main observability tasks are covered.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

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