```json { "action": "tool_call", "reasoning": "The user wants to see representative sample rows from the dataset. The dataset has 43 tables with over 2 million rows total. I should start by identifying the largest or most central tables to show meaningful samples. From the card, the largest tables are: raw.columns_catalog (1.5M rows), raw.job_logs (303K rows), raw.llm_calls (49K rows), raw.column_tags (43K rows), and raw.tag_lineage_edges (42K rows). I'll query a few of the most substantive tables to give a representative view. Starting with raw.llm_calls as it likely contains core operational data about LLM usage.", "tool": "query_sql", "args": { "sql": "SELECT * FROM raw.llm_calls LIMIT 10", "purpose": "Get a sample of rows from the llm_calls table to show representative data", "source": "raw" } } ```