```json { "action": "tool_call", "reasoning": "I have the row and column counts from step-0. Now I need to determine the time period coverage. The dataset card mentions temporal axes in raw.boxing_klitschko with f_boxer_age and s_boxer_age columns (though the ranges shown look odd: '20..orthodox' and '..orthodox' suggest these might not be pure date columns). I should query for actual date/time columns across the tables to find the temporal coverage.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type, min_value, max_value FROM meta.columns WHERE rough_kind IN ('temporal', 'date', 'datetime', 'timestamp') OR phys_type LIKE '%DATE%' OR phys_type LIKE '%TIME%' OR column_name LIKE '%date%' OR column_name LIKE '%year%' ORDER BY table_name, column_name", "purpose": "Find all temporal columns across tables to determine the time period coverage of the dataset", "source": "raw" } } ```