{
    "action": "tool_call",
    "reasoning": "The previous correlation analysis on boxing_aj found strong correlations between wins and KOs for both boxers. I need to expand this to all tables in the dataset to find the strongest correlations across the entire dataset. I'll query the other major tables (boxing_klitschko, boxing_tysonfury, boxing_pulev) to see if similar patterns exist and identify any other strong correlations.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'f_boxer_won vs f_boxer_KOs' as pair, CORR(TRY_CAST(f_boxer_won AS DOUBLE), TRY_CAST(f_boxer_KOs AS DOUBLE)) as correlation FROM raw.boxing_klitschko UNION ALL SELECT 's_boxer_won vs s_boxer_KOs', CORR(TRY_CAST(s_boxer_won AS DOUBLE), TRY_CAST(s_boxer_KOs AS DOUBLE)) FROM raw.boxing_klitschko UNION ALL SELECT 'f_boxer_age vs s_boxer_age', CORR(TRY_CAST(f_boxer_age AS DOUBLE), TRY_CAST(s_boxer_age AS DOUBLE)) FROM raw.boxing_klitschko UNION ALL SELECT 'f_boxer_height vs s_boxer_height', CORR(TRY_CAST(f_boxer_height AS DOUBLE), TRY_CAST(s_boxer_height AS DOUBLE)) FROM raw.boxing_klitschko UNION ALL SELECT 'f_boxer_won vs f_boxer_KOs', CORR(TRY_CAST(f_boxer_won AS DOUBLE), TRY_CAST(f_boxer_KOs AS DOUBLE)) FROM raw.boxing_tysonfury UNION ALL SELECT 's_boxer_won vs s_boxer_KOs', CORR(TRY_CAST(s_boxer_won AS DOUBLE), TRY_CAST(s_boxer_KOs AS DOUBLE)) FROM raw.boxing_tysonfury UNION ALL SELECT 'f_boxer_won vs f_boxer_KOs', CORR(TRY_CAST(f_boxer_won AS DOUBLE), TRY_CAST(f_boxer_KOs AS DOUBLE)) FROM raw.boxing_pulev UNION ALL SELECT 's_boxer_won vs s_boxer_KOs', CORR(TRY_CAST(s_boxer_won AS DOUBLE), TRY_CAST(s_boxer_KOs AS DOUBLE)) FROM raw.boxing_pulev",
        "purpose": "Calculate correlations between numeric columns across multiple boxing tables to find the strongest relationships",
        "source": "raw"
    }
}