{
    "action": "tool_call",
    "reasoning": "No evidence is available in this turn, so I'll recompute the key correlations and group averages from raw data before answering. This is one query with many aggregates.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS n, corr(Daily_Usage_Hours, Mental_Health_Index) AS usage_mental, corr(Daily_Usage_Hours, Sleep_Duration_Hours) AS usage_sleep, corr(Daily_Usage_Hours, Academic_Performance_GPA) AS usage_gpa, corr(Daily_Usage_Hours, Sleep_Quality_Score) AS usage_sleepq, corr(Daily_Usage_Hours, Perceived_Stress_Score) AS usage_stress, corr(Weekend_Extra_Hours, Daily_Usage_Hours) AS weekend_usage, 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(Sleep_Duration_Hours, Mental_Health_Index) AS sleep_mental, corr(Perceived_Stress_Score, Mental_Health_Index) AS stress_mental, corr(Academic_Performance_GPA, Mental_Health_Index) AS gpa_mental FROM raw.Social_media_impact_on_life",
        "purpose": "Compute key pairwise correlations across all students",
        "source": "raw"
    }
}