{
    "action": "tool_call",
    "reasoning": "My earlier draft cited numbers I haven't verified with a query in this turn. I'll compute the correlations and the Overall_Impact group stats with SQL before answering.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS n, corr(Daily_Usage_Hours, Mental_Health_Index) AS r_daily_mental, corr(Daily_Usage_Hours, Sleep_Duration_Hours) AS r_daily_sleep, corr(Daily_Usage_Hours, Academic_Performance_GPA) AS r_daily_gpa, corr(Daily_Usage_Hours, Sleep_Quality_Score) AS r_daily_sleepq, corr(Daily_Usage_Hours, Perceived_Stress_Score) AS r_daily_stress, corr(Weekend_Extra_Hours, Daily_Usage_Hours) AS r_wkend_daily, corr(Weekend_Extra_Hours, Mental_Health_Index) AS r_wkend_mental, corr(Weekend_Extra_Hours, Academic_Performance_GPA) AS r_wkend_gpa, corr(Weekend_Extra_Hours, Sleep_Duration_Hours) AS r_wkend_sleep, corr(Weekend_Extra_Hours, Perceived_Stress_Score) AS r_wkend_stress, corr(Age, Academic_Performance_GPA) AS r_age_gpa FROM raw.Social_media_impact_on_life",
        "purpose": "Compute correlations between usage hours (daily and weekend), age, and outcome measures",
        "source": "raw"
    }
}