{
    "action": "tool_call",
    "reasoning": "I have comprehensive survival statistics by class, sex, family size, and fare. To identify the most counterintuitive finding, I need to examine age patterns - specifically whether children had better survival rates than adults, which would be expected given 'women and children first' protocol. I should also check if there are any unexpected patterns in the age data that contradict common assumptions about the Titanic disaster.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT CASE WHEN Age < 18 THEN 'Child' WHEN Age >= 18 THEN 'Adult' ELSE 'Unknown' END AS age_group, COUNT(*) AS passengers, SUM(Survived) AS survived, ROUND(100.0 * SUM(Survived) / COUNT(*), 1) AS survival_rate_pct, ROUND(AVG(Age), 1) AS avg_age FROM raw.titanic GROUP BY age_group ORDER BY age_group",
        "purpose": "Check if children had higher survival rates than adults, as would be expected from 'women and children first' protocol",
        "source": "raw"
    }
}