{
    "action": "tool_call",
    "reasoning": "No evidence is visible this turn, so I'll re-run the extremes of total_sleep_hours as one aggregate query. Then I can ground the answer instead of relying on the unparsed draft.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT CASE WHEN total_sleep_hours = (SELECT MAX(total_sleep_hours) FROM raw.bedtime_screentime_sleep_debt) THEN 'highest' ELSE 'lowest' END AS grp, MIN(total_sleep_hours) AS sleep_hours, COUNT(*) AS users, ROUND(AVG(sleep_latency_min),1) AS avg_latency_min, ROUND(AVG(next_day_fatigue_score),2) AS avg_fatigue, ROUND(AVG(morning_alarm_snoozes),2) AS avg_snoozes, ROUND(AVG(caffeine_post_5pm_mg),1) AS avg_caffeine_mg, ROUND(AVG(bedtime_phone_minutes),1) AS avg_phone_min, ROUND(AVG(deep_sleep_pct),1) AS avg_deep_pct, ROUND(AVG(rem_sleep_pct),1) AS avg_rem_pct, COUNT(DISTINCT sleep_debt_category) AS n_debt_categories, MIN(sleep_debt_category) AS debt_category FROM raw.bedtime_screentime_sleep_debt WHERE total_sleep_hours IN ((SELECT MAX(total_sleep_hours) FROM raw.bedtime_screentime_sleep_debt), (SELECT MIN(total_sleep_hours) FROM raw.bedtime_screentime_sleep_debt)) GROUP BY 1",
        "purpose": "Profile the users at the maximum and minimum total_sleep_hours (ties included) with group averages of related outcomes and behaviors",
        "source": "raw"
    }
}