{
    "action": "tool_call",
    "reasoning": "The evidence shows stance and country distributions from fighters table. Now I need to get the distributions for the categorical columns in popular_matches table: opponent_1, opponent_2, place, and verdict. I'll query all four in one SQL statement to be efficient.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'opponent_1' as column_name, opponent_1 as value, COUNT(*) as frequency, ROUND(COUNT(*) * 100.0 / (SELECT COUNT(*) FROM raw.popular_matches), 2) as percentage FROM raw.popular_matches WHERE opponent_1 IS NOT NULL GROUP BY opponent_1 ORDER BY frequency DESC LIMIT 10",
        "purpose": "Get top 10 most frequent values for opponent_1 in popular_matches",
        "source": "raw"
    }
}