{
    "action": "tool_call",
    "reasoning": "Check how the key categorical columns split the records, starting with User_Type crossed with Education_Level (card says ~17 distinct education values, which may be dirty).",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT User_Type, Education_Level, COUNT(*) AS n, ROUND(AVG(Productivity_Score),2) AS avg_productivity, ROUND(AVG(Satisfaction_Score),2) AS avg_satisfaction FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals GROUP BY User_Type, Education_Level ORDER BY n DESC",
        "purpose": "Profile User_Type x Education_Level segments with size and outcome averages",
        "source": "raw"
    }
}