{
    "action": "tool_call",
    "reasoning": "Check duplicate rows and IQR-based outliers per measure within species, which gold aggregates do not cover.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH q AS (SELECT species, quantile_cont(sepal_length,0.25) sl1, quantile_cont(sepal_length,0.75) sl3, quantile_cont(sepal_width,0.25) sw1, quantile_cont(sepal_width,0.75) sw3, quantile_cont(petal_length,0.25) pl1, quantile_cont(petal_length,0.75) pl3, quantile_cont(petal_width,0.25) pw1, quantile_cont(petal_width,0.75) pw3 FROM raw.iris GROUP BY species), o AS (SELECT i.species, (i.sepal_length < sl1-1.5*(sl3-sl1) OR i.sepal_length > sl3+1.5*(sl3-sl1)) AS o_sl, (i.sepal_width < sw1-1.5*(sw3-sw1) OR i.sepal_width > sw3+1.5*(sw3-sw1)) AS o_sw, (i.petal_length < pl1-1.5*(pl3-pl1) OR i.petal_length > pl3+1.5*(pl3-pl1)) AS o_pl, (i.petal_width < pw1-1.5*(pw3-pw1) OR i.petal_width > pw3+1.5*(pw3-pw1)) AS o_pw FROM raw.iris i JOIN q USING (species)) SELECT (SELECT COUNT(*) - COUNT(DISTINCT (sepal_length, sepal_width, petal_length, petal_width, species)) FROM raw.iris) AS extra_dup_rows, SUM(o_sl::INT) AS out_sl, SUM(o_sw::INT) AS out_sw, SUM(o_pl::INT) AS out_pl, SUM(o_pw::INT) AS out_pw FROM o",
        "purpose": "Detect duplicates and within-species outliers",
        "source": "raw"
    }
}