I need to classify all columns across the dataset's tables. Let me examine the column metadata I already have and query for a comprehensive view. From the evidence, I can see metadata for `boxing_aj` and `boxing_klitschko` tables, plus detailed column info for `cleandata` and `cleandata_v2`. Let me get a complete picture by querying the metadata catalog for all tables. ```json { "action": "tool_call", "reasoning": "I have partial metadata from inspect_columns results, but need a complete view of all columns across all 10 tables with their types and semantic roles. The meta.columns table in the catalog will give me this comprehensive classification.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, semantic_role, rough_kind FROM meta.columns ORDER BY table_name, column_name", "purpose": "Get complete column classification metadata for all tables in the dataset" } } ```