{
    "action": "tool_call",
    "reasoning": "I have extensive survival analysis already showing clear patterns: women survived at much higher rates than men (74% vs 19%), first class had better survival (63% vs 24% in third), small families did better than solo travelers or large families. To find the MOST surprising/counterintuitive finding, I need to look for patterns that violate these expected trends. The most striking anomaly I see in the evidence is in step-8: family size 3 had 72.4% survival rate - the HIGHEST of any family size - which seems counterintuitive since we'd expect either solo travelers (more mobile) or small families to do best. But I should verify if there's an even more surprising intersection, particularly looking at cases where the expected advantage (being female, first class) didn't help, or where expected disadvantages were overcome. Let me check the embarkation port patterns to see if there's a geographic anomaly.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Embarked, COUNT(*) as passengers, SUM(Survived) as survived, ROUND(100.0 * SUM(Survived) / COUNT(*), 1) as survival_rate_pct, ROUND(AVG(Fare), 2) as avg_fare FROM raw.titanic WHERE Embarked IS NOT NULL GROUP BY Embarked ORDER BY survival_rate_pct DESC",
        "purpose": "Check if embarkation port shows any counterintuitive survival patterns",
        "source": "raw"
    }
}