{
    "action": "tool_call",
    "reasoning": "No evidence yet. Check user_id uniqueness and duplicate rows across all non-ID attributes in a single query.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH g AS (SELECT age, gender, occupation_type, chronotype, bedtime_phone_minutes, primary_bedtime_app, screen_brightness_pct, blue_light_filter_active, caffeine_post_5pm_mg, physical_activity_min, sleep_latency_min, total_sleep_hours, deep_sleep_pct, rem_sleep_pct, morning_alarm_snoozes, next_day_fatigue_score, sleep_debt_category, COUNT(*) AS c FROM raw.bedtime_screentime_sleep_debt GROUP BY ALL) SELECT (SELECT COUNT(*) FROM raw.bedtime_screentime_sleep_debt) AS total_rows, (SELECT COUNT(DISTINCT user_id) FROM raw.bedtime_screentime_sleep_debt) AS distinct_user_ids, COUNT(*) AS distinct_profiles, COUNT(*) FILTER (WHERE c > 1) AS dup_groups, COALESCE(SUM(c) FILTER (WHERE c > 1), 0) AS rows_in_dup_groups FROM g",
        "purpose": "Check user_id uniqueness and duplicate rows across all non-ID attributes",
        "source": "raw"
    }
}