I can see from the evidence that I've been repeatedly calling `inspect_columns` which returns the same metadata view. Let me take a different approach and query the actual metadata catalog to get a comprehensive list of all columns across all tables with their meanings. ```json { "action": "tool_call", "reasoning": "The inspect_columns calls have been returning the same 50-row subset repeatedly. I need to query the full metadata catalog (meta.columns) to get ALL columns across all tables with their types and semantic roles. This will give a complete picture of the dataset's schema.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type AS data_type, semantic_role, rough_kind FROM meta.columns ORDER BY table_name, column_name", "purpose": "Get complete list of all columns across all tables with their data types and semantic meanings", "source": "raw" } } ```