{
    "action": "tool_call",
    "reasoning": "I've already inspected the columns and seen sample data showing percentage values stored as VARCHAR (e.g. '29.02%'). I've also confirmed all 105 rows have the '%' symbol and no values are negative or over 100%. Now I need to check for other data quality issues: (1) whether the percentage columns can be cleanly parsed as numbers, (2) whether there are any non-numeric characters beyond '%', (3) consistency of decimal precision, (4) whether question/response pairs have logical consistency, and (5) whether demographic breakdowns sum appropriately. Let me query to detect parsing issues, mixed formats, and check if any percentage values have unexpected characters or formats.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'Overall' AS column_name, COUNT(*) AS total_values, COUNT(CASE WHEN Overall NOT LIKE '%[0-9]%' THEN 1 END) AS non_numeric, COUNT(CASE WHEN Overall LIKE '%.%' THEN 1 END) AS has_decimal, COUNT(CASE WHEN LENGTH(Overall) - LENGTH(REPLACE(Overall, '.', '')) > 1 THEN 1 END) AS multiple_decimals, COUNT(CASE WHEN Overall LIKE '%,%' THEN 1 END) AS has_comma, MIN(LENGTH(Overall)) AS min_length, MAX(LENGTH(Overall)) AS max_length FROM raw.polling_on_ai_usage_jul_2026 UNION ALL SELECT 'Gender: Male', COUNT(*), COUNT(CASE WHEN \"Gender: Male\" NOT LIKE '%[0-9]%' THEN 1 END), COUNT(CASE WHEN \"Gender: Male\" LIKE '%.%' THEN 1 END), COUNT(CASE WHEN LENGTH(\"Gender: Male\") - LENGTH(REPLACE(\"Gender: Male\", '.', '')) > 1 THEN 1 END), COUNT(CASE WHEN \"Gender: Male\" LIKE '%,%' THEN 1 END), MIN(LENGTH(\"Gender: Male\")), MAX(LENGTH(\"Gender: Male\")) FROM raw.polling_on_ai_usage_jul_2026 UNION ALL SELECT 'Age: 18–29', COUNT(*), COUNT(CASE WHEN \"Age: 18–29\" NOT LIKE '%[0-9]%' THEN 1 END), COUNT(CASE WHEN \"Age: 18–29\" LIKE '%.%' THEN 1 END), COUNT(CASE WHEN LENGTH(\"Age: 18–29\") - LENGTH(REPLACE(\"Age: 18–29\", '.', '')) > 1 THEN 1 END), COUNT(CASE WHEN \"Age: 18–29\" LIKE '%,%' THEN 1 END), MIN(LENGTH(\"Age: 18–29\")), MAX(LENGTH(\"Age: 18–29\")) FROM raw.polling_on_ai_usage_jul_2026",
        "purpose": "Check percentage columns for format consistency: non-numeric values, decimal points, commas, and length variation that would indicate mixed formats",
        "source": "raw"
    }
}