{
    "action": "tool_call",
    "reasoning": "Check that sleep_debt_category is consistent with total_sleep_hours, and look at the tails of sleep_latency and sleep hours, caffeine zeros, and whitespace in IDs.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT sleep_debt_category, COUNT(*) AS n, MIN(total_sleep_hours) AS min_h, MAX(total_sleep_hours) AS max_h, AVG(sleep_latency_min) AS avg_lat, MAX(sleep_latency_min) AS max_lat, QUANTILE_CONT(sleep_latency_min, 0.99) AS p99_lat, SUM(CASE WHEN sleep_latency_min > 90 THEN 1 ELSE 0 END) AS lat_over90, SUM(CASE WHEN total_sleep_hours < 4 THEN 1 ELSE 0 END) AS under4h, SUM(CASE WHEN caffeine_post_5pm_mg = 0 THEN 1 ELSE 0 END) AS zero_caf, SUM(CASE WHEN user_id <> TRIM(user_id) THEN 1 ELSE 0 END) AS ws_ids FROM raw.bedtime_screentime_sleep_debt GROUP BY sleep_debt_category ORDER BY min_h",
        "purpose": "Validate derived category against hours and look at outlier tails",
        "source": "raw"
    }
}