{
    "action": "tool_call",
    "reasoning": "I have comprehensive survival analysis across multiple dimensions (gender, class, family size, fare, age). The most striking patterns are: (1) females in 1st/2nd class had 96.8%/92.1% survival vs males at 36.9%/15.7%, (2) large families (4+) had only 16.1% survival vs small families at 57.9%, and (3) there's a non-linear relationship with family size where survival peaks at size 3 (72.4%) then crashes. The large family finding is particularly counterintuitive - you'd expect families to help each other survive, but the data shows the opposite for large families. Let me examine the interaction between large families and class more closely, as step-7 hints that large 3rd class families had catastrophic 7.4% survival while large 1st class families had 66.7%.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT CASE WHEN SibSp + Parch >= 4 THEN 'Large family (4+)' WHEN SibSp + Parch BETWEEN 1 AND 3 THEN 'Small family (1-3)' ELSE 'Alone' END as family_size_group, Pclass, Sex, COUNT(*) as passengers, SUM(Survived) as survived, ROUND(100.0 * SUM(Survived) / COUNT(*), 1) as survival_rate_pct FROM raw.titanic GROUP BY 1, 2, 3 ORDER BY 1, 2, 3",
        "purpose": "Break down the large family survival paradox by class AND gender to see if the catastrophic survival rate is driven by a specific subgroup",
        "source": "raw"
    }
}