{
    "action": "tool_call",
    "reasoning": "I have species-level aggregations and some correlations, but to identify the most surprising finding I need to look for unexpected patterns. The evidence shows Iris-setosa has the highest sepal width-to-length ratio (0.68 vs ~0.45-0.47 for others) and a very strong sepal length-width correlation (0.747) compared to the other species. However, I should examine the raw distribution patterns and check for anomalies or unexpected relationships that contradict botanical intuition. Let me look at the within-species variation and cross-measure relationships to find what's truly counterintuitive.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Species, STDDEV(SepalLengthCm) as sepal_length_std, STDDEV(SepalWidthCm) as sepal_width_std, STDDEV(PetalLengthCm) as petal_length_std, STDDEV(PetalWidthCm) as petal_width_std, STDDEV(SepalLengthCm) / AVG(SepalLengthCm) as sepal_length_cv, STDDEV(SepalWidthCm) / AVG(SepalWidthCm) as sepal_width_cv, STDDEV(PetalLengthCm) / AVG(PetalLengthCm) as petal_length_cv, STDDEV(PetalWidthCm) / AVG(PetalWidthCm) as petal_width_cv FROM raw.Iris GROUP BY Species ORDER BY Species",
        "purpose": "Calculate coefficient of variation for each measurement by species to identify which species shows unexpected variability patterns",
        "source": "raw"
    }
}