{
    "action": "tool_call",
    "reasoning": "The previous draft cited correlations, but no query result is in my evidence, so I can't use those numbers. I'll compute the correlations across all users in one query.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS n, corr(bedtime_phone_minutes, sleep_latency_min) AS phone_vs_latency, corr(bedtime_phone_minutes, next_day_fatigue_score) AS phone_vs_fatigue, corr(bedtime_phone_minutes, total_sleep_hours) AS phone_vs_sleep_hours, corr(blue_light_filter_active, sleep_latency_min) AS filter_vs_latency, corr(blue_light_filter_active, total_sleep_hours) AS filter_vs_sleep_hours, corr(caffeine_post_5pm_mg, total_sleep_hours) AS caffeine_vs_sleep_hours, corr(caffeine_post_5pm_mg, sleep_latency_min) AS caffeine_vs_latency, corr(caffeine_post_5pm_mg, deep_sleep_pct) AS caffeine_vs_deep, corr(physical_activity_min, total_sleep_hours) AS activity_vs_sleep_hours, corr(physical_activity_min, next_day_fatigue_score) AS activity_vs_fatigue, corr(screen_brightness_pct, sleep_latency_min) AS brightness_vs_latency FROM raw.bedtime_screentime_sleep_debt",
        "purpose": "Correlations of bedtime behaviors with sleep outcomes across all users",
        "source": "raw"
    }
}