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observability-mcp

by ThainaJardim
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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

    A4.2/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a distinct operation and data source (Loki vs. Thanos), with clear naming and descriptions that prevent confusion. Even similar tasks like label listing are differentiated by the datasource prefix.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern in snake_case, e.g., 'query_loki_instant', 'list_labels'. The naming clearly indicates the action and the target, making it predictable and easy to understand.

    Tool Count5/5

    With 8 tools covering essential operations for two datasources (metrics and logs), the count is well-scoped. There are no redundant tools, and each tool serves a clear purpose without overwhelming the agent.

    Completeness5/5

    The tool set covers the core query and metadata exploration for both Loki and Thanos, including instant/range queries, label discovery, and series listing. No obvious gaps exist for standard observability workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources