{
    "action": "tool_call",
    "reasoning": "No evidence is in hand yet, so I can't restate the earlier numbers. I'll recompute the correlations of usage with the outcome measures in one query so the figures are grounded.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS n, CORR(Daily_Usage_Hours, Mental_Health_Index) AS usage_vs_mental, CORR(Daily_Usage_Hours, Sleep_Duration_Hours) AS usage_vs_sleep, CORR(Daily_Usage_Hours, Academic_Performance_GPA) AS usage_vs_gpa, CORR(Daily_Usage_Hours, Sleep_Quality_Score) AS usage_vs_sleep_quality, CORR(Daily_Usage_Hours, Perceived_Stress_Score) AS usage_vs_stress, CORR(Sleep_Duration_Hours, Mental_Health_Index) AS sleep_vs_mental, CORR(Perceived_Stress_Score, Mental_Health_Index) AS stress_vs_mental, CORR(Academic_Performance_GPA, Mental_Health_Index) AS gpa_vs_mental, CORR(Weekend_Extra_Hours, Daily_Usage_Hours) AS weekend_vs_daily, CORR(Age, Academic_Performance_GPA) AS age_vs_gpa FROM raw.Social_media_impact_on_life",
        "purpose": "Compute correlations between usage and wellbeing outcomes to check how unusually strong the relationships are",
        "source": "raw"
    }
}