```json { "action": "tool_call", "reasoning": "I have column metadata from inspect_columns showing phys_type and semantic_role for cleandata and cleandata_v2, but I need a comprehensive view across ALL 10 tables to classify every column. I'll query the meta.columns table (which holds the catalog metadata) to get phys_type and semantic_role for all columns across all tables in one query, then categorize them into identifiers, categorical dimensions, numeric metrics, and dates/times.", "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 metadata across all 10 tables to classify each column by type (identifier, categorical, numeric, temporal)", "source": "raw" } } ```