{
    "action": "tool_call",
    "reasoning": "One query over raw.Iris computing min, max, mean, median, stddev for all four measures (plus Id is a key, skip). Use UNION ALL to get one row per column.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'SepalLengthCm' AS column_name, COUNT(SepalLengthCm) AS n, MIN(SepalLengthCm) AS min_value, MAX(SepalLengthCm) AS max_value, ROUND(AVG(SepalLengthCm),3) AS mean_value, MEDIAN(SepalLengthCm) AS median_value, ROUND(STDDEV(SepalLengthCm),3) AS stddev_value, MAX(SepalLengthCm)-MIN(SepalLengthCm) AS range_value, QUANTILE_CONT(SepalLengthCm,0.75)-QUANTILE_CONT(SepalLengthCm,0.25) AS iqr FROM raw.Iris UNION ALL SELECT 'SepalWidthCm', COUNT(SepalWidthCm), MIN(SepalWidthCm), MAX(SepalWidthCm), ROUND(AVG(SepalWidthCm),3), MEDIAN(SepalWidthCm), ROUND(STDDEV(SepalWidthCm),3), MAX(SepalWidthCm)-MIN(SepalWidthCm), QUANTILE_CONT(SepalWidthCm,0.75)-QUANTILE_CONT(SepalWidthCm,0.25) FROM raw.Iris UNION ALL SELECT 'PetalLengthCm', COUNT(PetalLengthCm), MIN(PetalLengthCm), MAX(PetalLengthCm), ROUND(AVG(PetalLengthCm),3), MEDIAN(PetalLengthCm), ROUND(STDDEV(PetalLengthCm),3), MAX(PetalLengthCm)-MIN(PetalLengthCm), QUANTILE_CONT(PetalLengthCm,0.75)-QUANTILE_CONT(PetalLengthCm,0.25) FROM raw.Iris UNION ALL SELECT 'PetalWidthCm', COUNT(PetalWidthCm), MIN(PetalWidthCm), MAX(PetalWidthCm), ROUND(AVG(PetalWidthCm),3), MEDIAN(PetalWidthCm), ROUND(STDDEV(PetalWidthCm),3), MAX(PetalWidthCm)-MIN(PetalWidthCm), QUANTILE_CONT(PetalWidthCm,0.75)-QUANTILE_CONT(PetalWidthCm,0.25) FROM raw.Iris",
        "purpose": "Distribution summary (min, max, mean, median, stddev, range, IQR) for each measurement column",
        "source": "raw"
    }
}