I need to provide a comprehensive list of all columns across all tables in this dataset, including their data types and meanings. Let me start by getting the column metadata for the main tables. Since this dataset has 51 tables with over 2,000 columns total, I'll need to query the metadata systematically. The best approach is to use the `meta.columns` table which contains column metadata across all tables. ```json { "action": "tool_call", "reasoning": "Query the meta.columns table to get a comprehensive list of all columns across all tables with their physical types and semantic roles. This will give us the complete column inventory with data types and meanings.", "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 list of all columns with their data types and semantic meanings" } } ```