{
    "action": "tool_call",
    "reasoning": "The dataset has temporal columns. AEDTC is already typed as DATE and has no nulls, making it the cleanest temporal axis for adverse events. I'll aggregate adverse event counts by month using AEDTC to identify the trend pattern.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT DATE_TRUNC('month', AEDTC) as month, COUNT(*) as event_count FROM raw.ae GROUP BY DATE_TRUNC('month', AEDTC) ORDER BY month",
        "purpose": "Count adverse events by month to identify temporal trend",
        "source": "raw"
    }
}