{
    "action": "tool_call",
    "reasoning": "I have correlation results from step-4 and step-5, but they appear incomplete (many null correlations for height/reach pairs) and come from different tables. I need to systematically compute correlations across ALL numeric columns in the main tables to give a complete answer. Let me query the largest table (raw.cleandata with 127 rows) to get comprehensive correlation results for all numeric column pairs.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH numeric_cols AS (SELECT TRY_CAST(f_boxer_age AS DOUBLE) as f_age, TRY_CAST(f_boxer_height AS DOUBLE) as f_height, TRY_CAST(f_boxer_reach AS DOUBLE) as f_reach, TRY_CAST(f_boxer_won AS DOUBLE) as f_won, TRY_CAST(f_boxer_KOs AS DOUBLE) as f_kos, TRY_CAST(s_boxer_age AS DOUBLE) as s_age, TRY_CAST(s_boxer_height AS DOUBLE) as s_height, TRY_CAST(s_boxer_reach AS DOUBLE) as s_reach, TRY_CAST(s_boxer_won AS DOUBLE) as s_won, TRY_CAST(s_boxer_KOs AS DOUBLE) as s_kos FROM raw.cleandata) SELECT 'f_boxer_won vs f_boxer_KOs' as pair, CORR(f_won, f_kos) as correlation UNION ALL SELECT 's_boxer_won vs s_boxer_KOs', CORR(s_won, s_kos) FROM numeric_cols UNION ALL SELECT 'f_boxer_height vs f_boxer_reach', CORR(f_height, f_reach) FROM numeric_cols UNION ALL SELECT 's_boxer_height vs s_boxer_reach', CORR(s_height, s_reach) FROM numeric_cols UNION ALL SELECT 'f_boxer_age vs s_boxer_age', CORR(f_age, s_age) FROM numeric_cols UNION ALL SELECT 'f_boxer_height vs s_boxer_height', CORR(f_height, s_height) FROM numeric_cols UNION ALL SELECT 'f_boxer_won vs s_boxer_won', CORR(f_won, s_won) FROM numeric_cols UNION ALL SELECT 'f_boxer_age vs f_boxer_won', CORR(f_age, f_won) FROM numeric_cols UNION ALL SELECT 's_boxer_age vs s_boxer_won', CORR(s_age, s_won) FROM numeric_cols ORDER BY ABS(correlation) DESC NULLS LAST",
        "purpose": "Compute correlations between all numeric column pairs in cleandata table to identify strongest relationships",
        "source": "raw"
    }
}