{
    "action": "tool_call",
    "reasoning": "My previous reply cited numbers with no query results behind them, so I'm discarding it. I'll start by profiling duplicates and the label variants in the raw table with one query.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS total_rows, COUNT(DISTINCT User_ID) AS distinct_users, COUNT(DISTINCT Gender) AS gender_variants, COUNT(DISTINCT AI_Tool) AS tool_variants, COUNT(DISTINCT Education_Level) AS education_variants, COUNT(DISTINCT Country) AS country_variants, COUNT(DISTINCT AI_Purpose) AS purpose_variants, COUNT(DISTINCT User_Type) AS user_type_variants, COUNT(DISTINCT Would_Recommend) AS recommend_variants, AVG(Productivity_Score) AS avg_productivity, AVG(Accuracy_Rating) AS avg_accuracy, AVG(Satisfaction_Score) AS avg_satisfaction FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals",
        "purpose": "Profile row count, duplicate User_IDs, label-variant cardinality and mean ratings in one pass",
        "source": "raw"
    }
}