{
    "action": "tool_call",
    "reasoning": "The earlier draft cited figures that are not in my current evidence, so I will recompute them. One query gives the min and max of total_sleep_hours, the number of tied users at each extreme, and average profiles of the two groups.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH b AS (SELECT MIN(total_sleep_hours) AS lo, MAX(total_sleep_hours) AS hi FROM raw.bedtime_screentime_sleep_debt) SELECT CASE WHEN r.total_sleep_hours = b.hi THEN 'highest' ELSE 'lowest' END AS extreme, r.total_sleep_hours AS hours, COUNT(*) AS users, AVG(r.sleep_latency_min) AS avg_latency_min, AVG(r.next_day_fatigue_score) AS avg_fatigue, AVG(r.caffeine_post_5pm_mg) AS avg_caffeine_mg, AVG(r.deep_sleep_pct) AS avg_deep_pct, AVG(r.rem_sleep_pct) AS avg_rem_pct, AVG(r.morning_alarm_snoozes) AS avg_snoozes, MIN(r.sleep_debt_category) AS min_category, MAX(r.sleep_debt_category) AS max_category FROM raw.bedtime_screentime_sleep_debt r, b WHERE r.total_sleep_hours = b.hi OR r.total_sleep_hours = b.lo GROUP BY 1, 2 ORDER BY 2 DESC",
        "purpose": "Identify highest and lowest total_sleep_hours records, how many users tie at each extreme, and their average profiles",
        "source": "raw"
    }
}