I need to properly classify the columns in this boxing dataset. I already have metadata from step-0 showing column roles, but my previous query failed. Let me write a correct query to aggregate this information. ```json { "action": "tool_call", "reasoning": "I have column metadata from step-0 showing semantic_role, rough_kind, and aggregation_role for all columns. I need to query the meta.columns table (which contains this metadata) to classify columns by type. The error indicated 'key_role' doesn't exist - I should use the correct column names from the metadata schema.", "tool": "query_sql", "args": { "sql": "SELECT semantic_role, rough_kind, aggregation_role, COUNT(*) as column_count, STRING_AGG(table_name || '.' || column_name, ', ') as examples FROM meta.columns GROUP BY semantic_role, rough_kind, aggregation_role ORDER BY column_count DESC", "purpose": "Classify all columns by their semantic role, kind, and aggregation role to identify identifiers, dimensions, metrics, and temporal columns", "source": "raw" } } ```