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BigQuery Validator

by caron14
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Python
Hybrid

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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.1/5.0

    Scored across 9 tools

    Disambiguation2/5

    Several tools have overlapping purposes: bq_validate_sql and bq_validate_query_syntax both validate syntax, while bq_describe_table and bq_get_table_info both return table metadata. Agents could easily confuse these and pick the wrong tool.

    Naming Consistency4/5

    Naming is mostly consistent with a clear bq_ prefix and snake_case verb_noun pattern. The main inconsistency is validate_sql versus validate_query_syntax, which are different names for the same kind of operation.

    Tool Count4/5

    Nine tools is a reasonable count for a BigQuery exploration and validation server, but at least two pairs are redundant. Trimming the duplicates would make the set tighter without losing any real capability.

    Completeness4/5

    The server covers dataset/table discovery, schemas, partitioning/clustering metadata, data previews, SQL syntax validation, dry-run cost estimation, and dependency extraction. Minor gaps exist, such as no way to list columns independently or execute queries, but these are outside the validator scope.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

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