I see the evidence shows repeated calls to inspect_columns that all returned the same 50-row subset. The dataset has 43 tables with 2,039,355 total rows, but the card was truncated. Let me get a comprehensive view of all columns across all tables by querying the metadata catalog directly. ```json { "action": "tool_call", "reasoning": "The inspect_columns calls only returned 50 rows (a bounded subset) from a few tables. To list ALL columns with their types and meanings across all 43 tables, I'll query the meta.columns catalog which holds the complete column metadata for the entire dataset.", "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 roles" } } ```