```json { "action": "tool_call", "reasoning": "The user wants to see a representative sample of rows from the dataset. The dataset has one table: raw.polling_on_ai_usage_jul_2026 with 105 rows and 44 columns. I'll query a small sample (10 rows) to show the structure and content. Since there are many columns (44), I'll select a subset of the most informative ones: question/response identifiers, the actual question and response text, and a few demographic breakdowns to give a sense of the data structure.", "tool": "query_sql", "args": { "sql": "SELECT question_number, Question, Response, Overall, \"Gender: Male\", \"Gender: Female\", \"Age: 18–29\", \"Age: 60+\", \"Region: Northeast\", \"Region: South\" FROM raw.polling_on_ai_usage_jul_2026 LIMIT 10", "purpose": "Get a representative sample of 10 rows showing question/response structure and a few demographic columns", "source": "raw" } } ```