{
    "action": "tool_call",
    "reasoning": "I have correlation results for matches_1930_2022 (step-1) and fifa_ranking_2022_10_06 (step-2), but I need to check correlations in the remaining tables: fifa_ranking_2026_06_08, schedule_2026, and world_cup. I'll start with fifa_ranking_2026_06_08 since I just inspected its columns.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT CORR(rank, points) as rank_points_corr, CORR(rank, previous_rank) as rank_prevrank_corr, CORR(rank, previous_points) as rank_prevpoints_corr, CORR(points, previous_points) as points_prevpoints_corr, CORR(points, previous_rank) as points_prevrank_corr, CORR(previous_rank, previous_points) as prevrank_prevpoints_corr, CORR(rank, rated_matches) as rank_matches_corr, CORR(points, rated_matches) as points_matches_corr FROM raw.fifa_ranking_2026_06_08",
        "purpose": "Calculate correlations between numeric columns in fifa_ranking_2026_06_08 to identify strong relationships",
        "source": "raw"
    }
}