{
    "action": "tool_call",
    "reasoning": "My previous draft cited figures that have no tool result behind them in the evidence, so I need to compute them before answering. I'll profile the groups at the maximum and minimum of total_sleep_hours in one query.",
    "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 end_group, MIN(r.total_sleep_hours) AS total_sleep_hours, COUNT(*) AS users, AVG(r.sleep_latency_min) AS avg_latency_min, AVG(r.next_day_fatigue_score) AS avg_fatigue, AVG(r.morning_alarm_snoozes) AS avg_snoozes, 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.bedtime_phone_minutes) AS avg_phone_min, AVG(r.screen_brightness_pct) AS avg_brightness_pct, MIN(r.sleep_debt_category) AS min_debt_category, MAX(r.sleep_debt_category) AS max_debt_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 ORDER BY 1",
        "purpose": "Profile users at the maximum and minimum total_sleep_hours (counts and average related metrics)",
        "source": "raw"
    }
}