{
    "action": "tool_call",
    "reasoning": "I've already inspected the column metadata and seen that all demographic/measure columns are VARCHAR containing percentage strings (e.g. '29.02%'). I've confirmed they all have the '%' symbol and decimal points. Now I need to check for actual data quality issues: (1) values outside the valid 0-100% range, (2) rows where percentages don't sum appropriately across demographics, (3) any malformed percentage strings, and (4) consistency of decimal precision. Let me query for outliers and impossible values first.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Question, Response, Overall, \"Gender: Male\", \"Gender: Female\", \"Age: 18–29\", \"Age: 60+\", \"Income: $100K+\", \"Education: Bachelor+\" FROM raw.polling_on_ai_usage_jul_2026 WHERE CAST(REPLACE(Overall, '%', '') AS DECIMAL) < 0 OR CAST(REPLACE(Overall, '%', '') AS DECIMAL) > 100 OR CAST(REPLACE(\"Gender: Male\", '%', '') AS DECIMAL) < 0 OR CAST(REPLACE(\"Gender: Male\", '%', '') AS DECIMAL) > 100 OR CAST(REPLACE(\"Gender: Female\", '%', '') AS DECIMAL) < 0 OR CAST(REPLACE(\"Gender: Female\", '%', '') AS DECIMAL) > 100",
        "purpose": "Check for percentage values outside the valid 0-100% range across key demographic columns",
        "source": "raw"
    }
}