{
    "action": "tool_call",
    "reasoning": "The question asks me to identify the most important numeric metric and show its extremes. From the evidence, I can see several numeric metrics in matches_1930_2022: home_score, away_score, home_xg, away_xg, home_penalty, away_penalty, and Attendance. I've already seen the highest-scoring matches (step-2) and scoreless matches (step-4), but I need to determine which metric is most 'important' to this dataset's purpose. Given this is World Cup match data, the most fundamental metric is goals scored - it determines match outcomes and tournament progression. However, I should also consider Attendance as it's a key tournament metric. Let me query to compare the ranges and significance of the main numeric measures to make an informed choice about which is 'most important', then show the extremes of that metric.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) as total_matches, COUNT(DISTINCT home_team) + COUNT(DISTINCT away_team) as total_teams, SUM(home_score + away_score) as total_goals, AVG(home_score + away_score) as avg_goals_per_match, MIN(Attendance) as min_attendance, MAX(Attendance) as max_attendance, AVG(Attendance) as avg_attendance, COUNT(CASE WHEN home_xg IS NOT NULL THEN 1 END) as matches_with_xg FROM raw.matches_1930_2022",
        "purpose": "Compare the key numeric metrics to determine which is most fundamental to World Cup match data",
        "source": "raw"
    }
}