{
    "action": "tool_call",
    "reasoning": "No evidence has been gathered yet, so the numbers in my earlier draft were not backed by any query. I'll compute the correlations in one SQL query over the raw table before answering.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS n, corr(Daily_Usage_Hours, Mental_Health_Index) AS daily_mental, corr(Daily_Usage_Hours, Sleep_Duration_Hours) AS daily_sleep_hours, corr(Daily_Usage_Hours, Academic_Performance_GPA) AS daily_gpa, corr(Daily_Usage_Hours, Sleep_Quality_Score) AS daily_sleep_quality, corr(Daily_Usage_Hours, Perceived_Stress_Score) AS daily_stress, corr(Weekend_Extra_Hours, Daily_Usage_Hours) AS weekend_daily, corr(Weekend_Extra_Hours, Mental_Health_Index) AS weekend_mental, corr(Weekend_Extra_Hours, Academic_Performance_GPA) AS weekend_gpa, corr(Weekend_Extra_Hours, Sleep_Duration_Hours) AS weekend_sleep, corr(Weekend_Extra_Hours, Perceived_Stress_Score) AS weekend_stress, corr(Age, Academic_Performance_GPA) AS age_gpa FROM raw.Social_media_impact_on_life",
        "purpose": "Compute correlations of daily usage and weekend extra hours with outcomes",
        "source": "raw"
    }
}