{
    "action": "tool_call",
    "reasoning": "I need to examine the actual data structure more carefully. The columns I see are all VARCHAR (text) containing percentage strings like '78.70%', not numeric types. The 'Overall' column appears to be the primary aggregate metric across all demographic breakdowns. To find the highest and lowest values, I need to convert these percentage strings to numbers and then identify the extremes. Let me query to find the records with the maximum and minimum values in the Overall column after converting from percentage text to numeric.",
    "tool": "query_sql",
    "source": "raw",
    "purpose": "Find the records with the highest and lowest values in the Overall metric by converting percentage strings to numeric values",
    "sql": "WITH numeric_overall AS (\n  SELECT \n    Question,\n    Response,\n    Overall,\n    CAST(REPLACE(Overall, '%', '') AS DECIMAL(10,2)) as overall_value\n  FROM raw.polling_on_ai_usage_jul_2026\n  WHERE Overall IS NOT NULL\n),\nranked AS (\n  SELECT \n    Question,\n    Response,\n    Overall,\n    overall_value,\n    ROW_NUMBER() OVER (ORDER BY overall_value DESC) as rank_desc,\n    ROW_NUMBER() OVER (ORDER BY overall_value ASC) as rank_asc\n  FROM numeric_overall\n)\nSELECT \n  Question,\n  Response,\n  Overall,\n  overall_value,\n  CASE WHEN rank_desc = 1 THEN 'Highest' ELSE 'Lowest' END as extreme_type\nFROM ranked\nWHERE rank_desc = 1 OR rank_asc = 1\nORDER BY overall_value DESC"
}