{
    "action": "tool_call",
    "reasoning": "No evidence yet. One SQL query over raw.iris with all aggregates for the four numeric columns, unpivoted via UNION ALL so it renders as one table.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'sepal_length' AS column_name, COUNT(sepal_length) AS n, MIN(sepal_length) AS min, MAX(sepal_length) AS max, AVG(sepal_length) AS mean, MEDIAN(sepal_length) AS median, STDDEV(sepal_length) AS stddev, MAX(sepal_length)-MIN(sepal_length) AS range, QUANTILE_CONT(sepal_length,0.75)-QUANTILE_CONT(sepal_length,0.25) AS iqr FROM raw.iris UNION ALL SELECT 'sepal_width', COUNT(sepal_width), MIN(sepal_width), MAX(sepal_width), AVG(sepal_width), MEDIAN(sepal_width), STDDEV(sepal_width), MAX(sepal_width)-MIN(sepal_width), QUANTILE_CONT(sepal_width,0.75)-QUANTILE_CONT(sepal_width,0.25) FROM raw.iris UNION ALL SELECT 'petal_length', COUNT(petal_length), MIN(petal_length), MAX(petal_length), AVG(petal_length), MEDIAN(petal_length), STDDEV(petal_length), MAX(petal_length)-MIN(petal_length), QUANTILE_CONT(petal_length,0.75)-QUANTILE_CONT(petal_length,0.25) FROM raw.iris UNION ALL SELECT 'petal_width', COUNT(petal_width), MIN(petal_width), MAX(petal_width), AVG(petal_width), MEDIAN(petal_width), STDDEV(petal_width), MAX(petal_width)-MIN(petal_width), QUANTILE_CONT(petal_width,0.75)-QUANTILE_CONT(petal_width,0.25) FROM raw.iris",
        "purpose": "Summary distribution stats (min, max, mean, median, stddev, range, IQR) for each numeric column",
        "source": "raw"
    }
}