I need to understand this dataset's structure and identify its most important metric and category. Let me start by examining the available columns and their characteristics. ```json { "action": "tool_call", "reasoning": "I need to understand what metrics and categories exist in this dataset. The card shows several measures (benefits_score, job_description_length, salary_usd, years_experience) and classifiers (job_title, company_name, industry, etc.). I'll inspect the main table to see the data types, null counts, and distinct values to determine which metric and category are most important.", "tool": "inspect_columns", "args": { "table": "ai_job_dataset" } } ```