{
    "action": "tool_call",
    "reasoning": "My earlier draft cited numbers that are not in the evidence I can see, and it was cut off. I'll re-run one profiling query for nulls, ranges, and ID uniqueness so the final answer rests on a tool result.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS n_rows, COUNT(DISTINCT Student_ID) AS distinct_ids, COUNT(Student_ID) AS id_nonnull, MIN(Student_ID) AS min_id, MAX(Student_ID) AS max_id, COUNT(Age) AS age_nn, MIN(Age) AS age_min, MAX(Age) AS age_max, MIN(Daily_Usage_Hours) AS use_min, MAX(Daily_Usage_Hours) AS use_max, MIN(Weekend_Extra_Hours) AS wk_min, MAX(Weekend_Extra_Hours) AS wk_max, COUNT(Sleep_Duration_Hours) AS sleep_nn, MIN(Sleep_Duration_Hours) AS sleep_min, MAX(Sleep_Duration_Hours) AS sleep_max, MIN(Sleep_Quality_Score) AS sq_min, MAX(Sleep_Quality_Score) AS sq_max, COUNT(Perceived_Stress_Score) AS stress_nn, MIN(Perceived_Stress_Score) AS stress_min, MAX(Perceived_Stress_Score) AS stress_max, COUNT(Mental_Health_Index) AS mh_nn, MIN(Mental_Health_Index) AS mh_min, MAX(Mental_Health_Index) AS mh_max, COUNT(Academic_Performance_GPA) AS gpa_nn, MIN(Academic_Performance_GPA) AS gpa_min, MAX(Academic_Performance_GPA) AS gpa_max, SUM(CASE WHEN Daily_Usage_Hours + Sleep_Duration_Hours > 20 THEN 1 ELSE 0 END) AS usage_plus_sleep_gt20, COUNT(Gender) AS gender_nn, COUNT(Academic_Level) AS lvl_nn, COUNT(Primary_Platform) AS plat_nn, COUNT(Device_Type) AS dev_nn, COUNT(Social_Comparison_Frequency) AS comp_nn, COUNT(Late_Night_Usage) AS late_nn, COUNT(Overall_Impact) AS impact_nn FROM raw.Social_media_impact_on_life",
        "purpose": "Profile data quality: nulls, ranges, ID uniqueness, and plausibility checks in one query",
        "source": "raw"
    }
}