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endpoint-aiops-mcp

by AIops-tools
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Python
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    Deploy Server
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    TDQS

    A4.1/5.0

    Scored across 13 tools

    Disambiguation4/5

    Most tools are clearly distinct (endpoint_list vs endpoint_get vs endpoint_health_score). Patch-related tools (patch_status, patch_compliance, drift_report, endpoint_health_score) overlap in patch-level analysis, but each has a distinct framing (distribution, SLA, drift, health) and descriptions clarify the differences.

    Naming Consistency4/5

    Uses snake_case throughout with a consistent noun_verb pattern for most tools (endpoint_list, session_list, patch_status, login_storm_analysis). A few deviations like 'overview' (noun only) and 'undo_apply' (verb_noun) are minor and do not impede readability.

    Tool Count5/5

    13 tools is well within the typical 3-15 range and each tool serves a clear purpose in the endpoint-management/aiops domain. No redundant or superfluous tools; the count feels right for the scope.

    Completeness4/5

    Covers core monitoring (health, patch, drift, sessions) and common actions (assign profile, reboot) with undo support. Missing operations like endpoint create/delete or a direct patch-apply tool, but these may be out of scope for a monitoring/aiops server; the surface is largely complete for its stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources