{
    "action": "tool_call",
    "reasoning": "Check remaining quality aspects: ID format, age vs academic level consistency, usage+sleep plausibility, null counts, and values sitting at range floors or caps.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) FILTER (WHERE NOT regexp_matches(Student_ID,'^[A-Za-z]+[0-9]+$')) AS odd_id_format, MIN(length(Student_ID)) AS id_len_min, MAX(length(Student_ID)) AS id_len_max, MIN(Student_ID) AS id_min, MAX(Student_ID) AS id_max, COUNT(*) FILTER (WHERE Academic_Level='High School' AND Age>=19) AS hs_age19plus, COUNT(*) FILTER (WHERE Academic_Level='Postgraduate' AND Age<=20) AS pg_age_le20, COUNT(*) FILTER (WHERE Academic_Level='Undergraduate' AND Age<=16) AS ug_age_le16, COUNT(*) FILTER (WHERE Daily_Usage_Hours+Sleep_Duration_Hours>20) AS usage_plus_sleep_gt20, COUNT(*) FILTER (WHERE Daily_Usage_Hours>=12) AS usage_ge12, COUNT(*) FILTER (WHERE Perceived_Stress_Score IS NULL) AS ps_null, COUNT(*) FILTER (WHERE Academic_Performance_GPA IS NULL) AS gpa_null, COUNT(*) FILTER (WHERE Perceived_Stress_Score=0) AS ps_zero, COUNT(*) FILTER (WHERE Perceived_Stress_Score=40) AS ps_forty, COUNT(*) FILTER (WHERE Academic_Performance_GPA=4.0) AS gpa_40, COUNT(*) FILTER (WHERE Sleep_Duration_Hours=3.0) AS sl_floor, COUNT(*) FILTER (WHERE Sleep_Duration_Hours=10.5) AS sl_cap, COUNT(*) FILTER (WHERE Daily_Usage_Hours=14.0) AS du_cap, COUNT(*) AS total_rows FROM raw.Social_media_impact_on_life",
        "purpose": "Profile ID format, logical consistency, null counts and boundary-value pile-ups in one query",
        "source": "raw"
    }
}