{
    "action": "tool_call",
    "reasoning": "The dataset has a temporal dimension in job_logs.ts (VARCHAR, ~338875 distinct values, range 2026-05-17 to 2026-08-13). To determine the overall trend, I need to aggregate row counts by time period. I'll query job_logs grouped by date to see if activity is growing, shrinking, flat, or seasonal over the ~3 month span.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT DATE_TRUNC('day', CAST(ts AS TIMESTAMP)) AS log_date, COUNT(*) AS log_count FROM raw.job_logs GROUP BY DATE_TRUNC('day', CAST(ts AS TIMESTAMP)) ORDER BY log_date",
        "purpose": "Aggregate job_logs by day to identify temporal trend (growth, decline, flat, seasonal)",
        "source": "raw"
    }
}