{
    "action": "tool_call",
    "reasoning": "The evidence shows a striking anomaly: 3 fatal adverse events (sudden death, myocardial infarction, completed suicide) are coded as AESER='N' (not serious), which is counterintuitive since death is universally considered the most serious possible outcome in clinical trials. I need to verify this is not a data quality issue by checking if there are ANY serious adverse events in the dataset, and whether the serious flag correlates with other severity indicators like hospitalization or life-threatening status.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT AESER, COUNT(*) as event_count, COUNT(DISTINCT USUBJID) as subjects, COUNT(DISTINCT AEOUT) as distinct_outcomes, STRING_AGG(DISTINCT AEOUT, ', ') as outcomes FROM raw.ae GROUP BY AESER ORDER BY AESER",
        "purpose": "Check the distribution of serious vs non-serious adverse events and their outcomes to understand if the serious flag is being used at all",
        "source": "raw"
    }
}