{
    "action": "tool_call",
    "reasoning": "I have extensive evidence about severity, outcomes, and serious event flags. The most striking pattern I've noticed is that 97% of severe events (41 of 43) are marked as NOT serious (AESER='N'), which is highly counterintuitive. To confirm this is the most surprising finding, I should verify the definition of 'serious' by examining what criteria actually trigger AESER='Y' vs the severity classification. Let me check if there's a systematic pattern in how serious events are classified versus severity.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT AESER, COUNT(*) as total_events, COUNT(CASE WHEN AESDTH = 'Y' THEN 1 END) as death_events, COUNT(CASE WHEN AESLIFE = 'Y' THEN 1 END) as life_threatening, COUNT(CASE WHEN AESHOSP = 'Y' THEN 1 END) as hospitalization, COUNT(CASE WHEN AESDISAB = 'Y' THEN 1 END) as disability, COUNT(CASE WHEN AESCONG = 'Y' THEN 1 END) as congenital FROM raw.ae GROUP BY AESER ORDER BY AESER",
        "purpose": "Understand what criteria define a 'serious' adverse event (AESER='Y') versus severity classification, to confirm the counterintuitive finding that most severe events are not marked serious",
        "source": "raw"
    }
}