{
    "action": "tool_call",
    "reasoning": "No query results are visible in my evidence, so I can't cite the figures from my earlier draft. I'll re-run the correlations in one query so each claim is backed by a result.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS n, CORR(caffeine_post_5pm_mg, total_sleep_hours) AS caff_sleep_hours, CORR(caffeine_post_5pm_mg, deep_sleep_pct) AS caff_deep, CORR(caffeine_post_5pm_mg, sleep_latency_min) AS caff_latency, CORR(caffeine_post_5pm_mg, next_day_fatigue_score) AS caff_fatigue, CORR(physical_activity_min, total_sleep_hours) AS act_sleep_hours, CORR(physical_activity_min, next_day_fatigue_score) AS act_fatigue, CORR(bedtime_phone_minutes, sleep_latency_min) AS phone_latency, CORR(bedtime_phone_minutes, next_day_fatigue_score) AS phone_fatigue, CORR(bedtime_phone_minutes, total_sleep_hours) AS phone_sleep_hours, CORR(total_sleep_hours, next_day_fatigue_score) AS sleep_fatigue, CORR(morning_alarm_snoozes, next_day_fatigue_score) AS snooze_fatigue, CORR(blue_light_filter_active, sleep_latency_min) AS filter_latency, CORR(blue_light_filter_active, total_sleep_hours) AS filter_sleep_hours FROM raw.bedtime_screentime_sleep_debt",
        "purpose": "Compute the key Pearson correlations between behaviours (caffeine, activity, phone use, blue-light filter) and sleep and fatigue outcomes",
        "source": "raw"
    }
}