{
    "action": "tool_call",
    "reasoning": "My earlier prose cited sample rows and quality numbers, but no tool results are in the evidence. I'll recompute the key quality figures (row count, distinct User_IDs, and distinct gender and tool spellings) in one query so the answer is backed by data.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) AS total_rows, COUNT(DISTINCT User_ID) AS distinct_user_ids, COUNT(DISTINCT Gender) AS distinct_gender_labels, COUNT(Gender) AS gender_non_null, COUNT(DISTINCT AI_Tool) AS distinct_tool_labels, COUNT(AI_Tool) AS tool_non_null, COUNT(DISTINCT Education_Level) AS distinct_education_labels, COUNT(Education_Level) AS education_non_null FROM raw.AI_Usage_and_Impact_on_Students_and_Professionals",
        "purpose": "Verify row count, duplicate User_IDs, and label inconsistency in Gender, AI_Tool and Education_Level",
        "source": "raw"
    }
}