{
    "action": "tool_call",
    "reasoning": "I need to compute correlations between the numeric columns in the dataset. From the previous inspection, I know the columns are stored as VARCHAR with formatting (commas, percent signs). I'll write a query to clean and cast these values, then calculate pairwise correlations between the key metrics: Total Calls, AI Handled, Human Handled, Voicemail, AI Resolution %, and Human %.",
    "tool": "query_sql",
    "sql": "WITH cleaned AS (SELECT CAST(REPLACE(\"Total Calls\", ',', '') AS INTEGER) AS total_calls, CAST(REPLACE(\"AI Handled\", ',', '') AS INTEGER) AS ai_handled, CAST(REPLACE(\"Human Handled\", ',', '') AS INTEGER) AS human_handled, CAST(REPLACE(\"Voicemail\", ',', '') AS INTEGER) AS voicemail, CAST(REPLACE(\"AI Resolution %\", '%', '') AS DECIMAL) AS ai_resolution_pct, CAST(REPLACE(\"Human %\", '%', '') AS DECIMAL) AS human_pct FROM raw.callyeah_analytics_2026_07_23 WHERE Day NOT IN ('TOTAL', '', ' ') AND \"Total Calls\" != '' AND \"Total Calls\" NOT LIKE '%Total%') SELECT 'Total Calls vs AI Handled' AS correlation_pair, CORR(total_calls, ai_handled) AS correlation FROM cleaned UNION ALL SELECT 'Total Calls vs Human Handled', CORR(total_calls, human_handled) FROM cleaned UNION ALL SELECT 'Total Calls vs Voicemail', CORR(total_calls, voicemail) FROM cleaned UNION ALL SELECT 'AI Handled vs Human Handled', CORR(ai_handled, human_handled) FROM cleaned UNION ALL SELECT 'AI Resolution % vs Total Calls', CORR(ai_resolution_pct, total_calls) FROM cleaned UNION ALL SELECT 'Human % vs Total Calls', CORR(human_pct, total_calls) FROM cleaned",
    "purpose": "Calculate pairwise correlations between numeric call metrics to identify relationships between variables"
}