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databricks-mcp

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    TDQS

    A4/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a distinct purpose: schema description, table listing, profiling statistics, SQL querying, and row sampling. No overlaps.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (e.g., describe_table, list_tables), making them predictable.

    Tool Count5/5

    With 5 tools, the set is well-scoped for table exploration and profiling without being too sparse or bloated.

    Completeness5/5

    The tool surface covers the core workflow of a Databricks warehouse explorer: list, describe, profile, query, and sample—no obvious gaps for read-only operations.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues