{
    "action": "tool_call",
    "reasoning": "No query results are in my evidence yet, so the duplicate claims in my earlier draft are unverified. I'll run one query to check User_ID duplicates and whether the repeated rows are identical on all content columns.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH d AS (SELECT User_ID, COUNT(*) AS n_rows, COUNT(DISTINCT Age || '|' || Gender || '|' || Country || '|' || User_Type || '|' || Education_Level || '|' || Profession || '|' || Monthly_Income || '|' || AI_Tool || '|' || AI_Purpose || '|' || AI_Usage_Hours_Per_Day || '|' || Tasks_Performed || '|' || Monthly_AI_Cost || '|' || CAST(Productivity_Score AS VARCHAR) || '|' || CAST(Accuracy_Rating AS VARCHAR) || '|' || CAST(Satisfaction_Score AS VARCHAR) || '|' || Time_Saved_Hours_Per_Week || '|' || Work_or_Study_Hours_Per_Day || '|' || Would_Recommend) AS distinct_content_versions FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals GROUP BY User_ID HAVING COUNT(*) > 1) SELECT User_ID, n_rows, distinct_content_versions FROM d ORDER BY User_ID",
        "purpose": "Find User_IDs that appear more than once and check whether the repeated rows are identical on all content columns",
        "source": "raw"
    }
}