{
    "action": "tool_call",
    "reasoning": "No tool results are visible in the evidence, so I can't cite the earlier numbers. I'll re-run one aggregate query by sleep_debt_category (counts, share, average sleep hours, latency, fatigue, snoozes, phone minutes) so the final answer is grounded.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT sleep_debt_category, COUNT(*) AS users, ROUND(100.0 * COUNT(*) / SUM(COUNT(*)) OVER (), 1) AS pct_users, ROUND(AVG(total_sleep_hours), 2) AS avg_sleep_hours, ROUND(AVG(sleep_latency_min), 1) AS avg_sleep_latency_min, ROUND(AVG(next_day_fatigue_score), 2) AS avg_fatigue, ROUND(AVG(morning_alarm_snoozes), 2) AS avg_snoozes, ROUND(AVG(bedtime_phone_minutes), 1) AS avg_bedtime_phone_min FROM raw.bedtime_screentime_sleep_debt GROUP BY sleep_debt_category ORDER BY avg_sleep_hours DESC",
        "purpose": "Profile each sleep debt category: size, sleep hours, latency, fatigue, snoozes and average bedtime phone use",
        "source": "raw"
    }
}