```json { "action": "tool_call", "reasoning": "I've identified won_A (Fighter A's career wins) as the most important metric based on: (1) highest average value among career stats (23.1), (2) highest variation (stddev 27.6), (3) Fighter A wins 83% of matches, and (4) boxing fundamentally measures success by wins. I can see from step-2/3 that max won_A is 332 and step-6 shows matches with 0 wins. Now I need to query for the complete records at both extremes to show the full context of these fighters' careers and match outcomes.", "tool": "query_sql", "args": { "sql": "WITH extremes AS (SELECT won_A, won_B, lost_A, lost_B, drawn_A, drawn_B, kos_A, kos_B, age_A, age_B, height_A, height_B, reach_A, reach_B, weight_A, weight_B, stance_A, stance_B, result, decision FROM raw.boxing_matches WHERE won_A = (SELECT MAX(won_A) FROM raw.boxing_matches) UNION ALL SELECT won_A, won_B, lost_A, lost_B, drawn_A, drawn_B, kos_A, kos_B, age_A, age_B, height_A, height_B, reach_A, reach_B, weight_A, weight_B, stance_A, stance_B, result, decision FROM raw.boxing_matches WHERE won_A = 0 ORDER BY won_A DESC LIMIT 20) SELECT * FROM extremes", "purpose": "Show the highest and lowest records by won_A (Fighter A's career wins) to illustrate the extremes of the most important metric", "source": "raw" } } ```