{
    "action": "tool_call",
    "reasoning": "No evidence is available in this turn, so I can't cite the earlier samples or numbers. I'll rerun one profiling query to check row count, distinct User_IDs and the numeric score ranges before answering.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS n_rows, COUNT(DISTINCT User_ID) AS n_distinct_users, COUNT(DISTINCT Gender) AS n_gender_variants, COUNT(DISTINCT Education_Level) AS n_education_variants, COUNT(DISTINCT AI_Tool) AS n_tools, COUNT(DISTINCT AI_Purpose) AS n_purposes, MIN(Productivity_Score) AS prod_min, MAX(Productivity_Score) AS prod_max, AVG(Productivity_Score) AS prod_avg, AVG(Accuracy_Rating) AS acc_avg, AVG(Satisfaction_Score) AS sat_avg FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals",
        "purpose": "Profile row count, duplicate User_IDs, label variants and score averages",
        "source": "raw"
    }
}