{
    "action": "tool_call",
    "reasoning": "I have extensive survival analysis already showing expected patterns (women/children first, class matters, family size effects). To find the MOST surprising finding, I need to look for anomalies that contradict these patterns. The most striking anomaly I see is in step-12: large families in 3rd class had catastrophically low survival (3.7% for males, 11.1% for females), which is far worse than solo 3rd class males (12.1% from step-9). Let me verify if there's an even more counterintuitive pattern by examining the fare-survival relationship more closely, particularly looking for cases where higher fares had LOWER survival.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT CASE WHEN Fare = 0 THEN 'Free' WHEN Fare < 10 THEN '$0-10' WHEN Fare < 20 THEN '$10-20' WHEN Fare < 30 THEN '$20-30' WHEN Fare < 50 THEN '$30-50' ELSE '$50+' END as fare_range, Pclass, COUNT(*) as passengers, SUM(Survived) as survived, ROUND(100.0 * SUM(Survived) / COUNT(*), 1) as survival_rate_pct FROM raw.titanic WHERE Fare IS NOT NULL GROUP BY fare_range, Pclass ORDER BY Pclass, MIN(Fare)",
        "purpose": "Check if there are any fare brackets within the same class where higher fares had lower survival rates (counterintuitive)",
        "source": "raw"
    }
}