{
    "action": "tool_call",
    "reasoning": "I need to understand what metrics are available in this dataset. The evidence shows this is polling data about AI usage with 105 rows. I can see columns for demographics (Gender, Age, Income, Education, Employment, Race, Region, Occupation) and questions/responses. The step-2 result shows question categories, but I need to see what the actual measurable metrics are. Let me query to understand the structure better - specifically what the 'Overall' column and demographic columns contain, as they appear to hold percentage values based on the sample row.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Question, Response, Overall, \"Gender: Male\", \"Gender: Female\", \"Age: 18–29\", \"Age: 30–44\", \"Age: 45–59\", \"Age: 60+\" FROM raw.polling_on_ai_usage_jul_2026 LIMIT 10",
        "purpose": "Examine the structure of the data to understand what metrics are available and how they're organized across demographic categories",
        "source": "raw"
    }
}