{
    "action": "tool_call",
    "reasoning": "I've seen that all percentage columns are stored as VARCHAR with values like '1.83%' to '78.70%', and step-3 confirmed no negative or >100% values exist. Now I need to check for other quality issues: (1) whether the demographic breakdowns sum correctly to Overall for each question-response pair, (2) whether there are any missing/null demographic segments that would indicate incomplete data, and (3) whether the percentage formats are consistent across all demographic columns. Let me query a sample of rows with all demographic columns to check for format consistency and calculate whether the segments add up properly.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Question, Response, Overall, \"Gender: Male\", \"Gender: Female\", \"Age: 18–29\", \"Age: 30–44\", \"Age: 45–59\", \"Age: 60+\", \"Income: Under $25K\", \"Income: $25K–$50K\", \"Income: $50K–$75K\", \"Income: $75K–$100K\", \"Income: $100K+\" FROM raw.polling_on_ai_usage_jul_2026 WHERE question_number = 1 LIMIT 10",
        "purpose": "Check format consistency across all demographic columns and prepare to validate whether demographic segments sum correctly",
        "source": "raw"
    }
}