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dbtBigQuery

by FelipeRego
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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

    A4.5/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool targets a distinct concern: listing metrics, listing semantic models, describing a single metric, listing valid dimensions, running queries, explaining SQL, and checking health. There is no overlap or ambiguity—an agent can clearly choose the right tool for the task.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun snake_case pattern (list_*, describe_metric, query_metrics, explain_metric_sql, health_check). No mixed conventions or vague verbs; the naming is predictable and self-documenting.

    Tool Count5/5

    Seven tools is well-scoped for a semantic layer server. Each tool covers a necessary aspect of exploring, querying, and validating metrics without redundancy or bloat. The count feels right for the domain.

    Completeness5/5

    The surface covers the full read-only lifecycle of the semantic layer: discovery (list_metrics, list_semantic_models), definition (describe_metric), grouping validation (list_dimensions), execution (query_metrics), cost/explanation (explain_metric_sql), and environment readiness (health_check). No obvious gaps for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources