{
    "action": "tool_call",
    "reasoning": "I have basic survival statistics showing overall 38.4% survival, strong gender disparity (females 74% vs males 19%), and clear class effects (1st class 63% vs 3rd class 24%). To find the most surprising/counterintuitive finding, I should explore less obvious patterns. Let me examine the interaction between family size (SibSp + Parch) and survival - conventional wisdom might suggest families helped each other survive, but the 'women and children first' protocol combined with chaos could create unexpected patterns. I'll also check age distributions and fare anomalies.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT CASE WHEN SibSp + Parch = 0 THEN 'Alone' WHEN SibSp + Parch BETWEEN 1 AND 3 THEN 'Small family (1-3)' ELSE 'Large family (4+)' END AS family_size_group, COUNT(*) AS passengers, SUM(Survived) AS survived, ROUND(100.0 * SUM(Survived) / COUNT(*), 1) AS survival_rate_pct FROM raw.titanic GROUP BY family_size_group ORDER BY survival_rate_pct DESC",
        "purpose": "Examine survival rates by family size to see if traveling alone vs with family shows counterintuitive patterns",
        "source": "raw"
    }
}