I need to query the metadata to get a complete classification of all columns in the ai_supercomputers table. I already have inspect_columns results showing the first 30 columns with their semantic roles, but I need to see all 61 columns and organize them by type. Let me query the metadata to get the complete picture: ```json { "action": "tool_call", "reasoning": "I have inspect_columns results for the first 30 columns, but the table has 61 columns total. I need to query the meta.columns table to get all columns with their semantic roles and types, then organize them into the requested categories: identifiers, categorical dimensions, numeric metrics, and dates/times.", "tool": "query_sql", "args": { "sql": "SELECT column_name, phys_type, semantic_role FROM meta.columns WHERE table_name = 'ai_supercomputers' ORDER BY column_name", "purpose": "Get complete list of all 61 columns with their types and semantic roles to classify them into identifiers, dimensions, metrics, and temporal columns" } } ```