```json { "action": "tool_call", "reasoning": "I have comprehensive numeric profiling showing clear outliers and impossible values. Now I need to check the categorical columns (stance_A, stance_B, result, decision) for quality issues like inconsistent formats, typos, or unexpected values. I'll query for distinct values and their frequencies.", "tool": "query_sql", "args": { "sql": "SELECT 'stance_A' as column_name, stance_A as value, COUNT(*) as count FROM raw.boxing_matches GROUP BY stance_A UNION ALL SELECT 'stance_B', stance_B, COUNT(*) FROM raw.boxing_matches GROUP BY stance_B UNION ALL SELECT 'result', result, COUNT(*) FROM raw.boxing_matches GROUP BY result UNION ALL SELECT 'decision', decision, COUNT(*) FROM raw.boxing_matches GROUP BY decision ORDER BY column_name, count DESC", "purpose": "Check categorical columns for inconsistent formats, typos, unexpected values, or quality issues" } } ```