{
    "action": "tool_call",
    "reasoning": "The question asks about natural segmentation approaches. I already know from the card and evidence that the dataset has several categorical dimensions (Pclass, Sex, Embarked, Survived) and some numeric grouping candidates (Parch, SibSp, Age, Fare). The gold tables show pre-computed breakdowns by these dimensions. To recommend natural segments, I should examine the distribution and cardinality of the key classifiers to see which create meaningful, balanced groups. Let me start by profiling the main categorical dimensions to understand their distributions.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Pclass, COUNT(*) as passengers, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 1) as pct FROM raw.titanic GROUP BY Pclass ORDER BY Pclass",
        "purpose": "Check distribution of passenger class to assess if it creates balanced segments",
        "source": "raw"
    }
}