I can see from the evidence that I've already obtained column metadata for this dataset. The results show columns from multiple tables with their data types and semantic roles. However, the results are truncated (showing only 50 rows out of what appears to be many more columns across 43 tables). Let me get a complete picture by querying the metadata to see all columns across all tables in the dataset. ```json { "action": "tool_call", "reasoning": "The inspect_columns results are truncated at 50 rows. To provide a complete list of all columns across all tables in this dataset, I need to query the meta.columns catalog which contains the full column inventory with types and semantic roles.", "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" } } ```