{
    "action": "tool_call",
    "reasoning": "I have comprehensive evidence on structural quality (no duplicates, no nulls in core fields, valid date ranges, consistent year values, proper formatting). Now I need to check for logical inconsistencies in the match results themselves: impossible score combinations (like both teams having penalty scores when the match didn't go to penalties), mismatched xG data, and attendance outliers. I'll also verify the FIFA ranking tables for impossible rank values or point anomalies.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) as matches_with_penalty_data, COUNT(*) FILTER (WHERE home_penalty IS NOT NULL AND away_penalty IS NOT NULL AND home_score = away_score) as penalties_after_draw, COUNT(*) FILTER (WHERE home_penalty IS NOT NULL AND away_penalty IS NOT NULL AND home_score != away_score) as penalties_after_decisive_match, COUNT(*) FILTER (WHERE (home_penalty IS NOT NULL AND away_penalty IS NULL) OR (home_penalty IS NULL AND away_penalty IS NOT NULL)) as asymmetric_penalty_data, COUNT(*) FILTER (WHERE home_xg IS NOT NULL AND away_xg IS NULL) as asymmetric_xg_home, COUNT(*) FILTER (WHERE home_xg IS NULL AND away_xg IS NOT NULL) as asymmetric_xg_away, COUNT(*) FILTER (WHERE home_xg IS NOT NULL AND home_xg < 0) as negative_home_xg, COUNT(*) FILTER (WHERE away_xg IS NOT NULL AND away_xg < 0) as negative_away_xg, COUNT(*) FILTER (WHERE home_xg IS NOT NULL AND home_xg > 10) as extreme_home_xg, COUNT(*) FILTER (WHERE away_xg IS NOT NULL AND away_xg > 10) as extreme_away_xg FROM raw.matches_1930_2022 WHERE home_penalty IS NOT NULL OR away_penalty IS NOT NULL OR home_xg IS NOT NULL OR away_xg IS NOT NULL",
        "purpose": "Check for logical inconsistencies in penalty shootout data (penalties recorded for non-draw matches, asymmetric penalty data) and xG data (negative values, extreme outliers, asymmetric availability)",
        "source": "raw"
    }
}