I see the evidence contains repeated inspect_columns results showing the same 50 columns across multiple steps. The dataset has 43 tables with 2,039,355 total rows, so 50 columns is just a small subset. I need to get a complete picture of all columns across all tables. Let me query the metadata to get the full column catalog: ```json { "action": "tool_call", "reasoning": "The inspect_columns results only show 50 columns from a few tables (analysis_run_llm_usage, analysis_runs, batches, classification_candidates). With 43 tables in the dataset, I need to query the complete column catalog from meta.columns to list all columns, their types, and semantic roles across the entire dataset.", "tool": "query_sql", "args": { "sql": "SELECT table_name, column_name, phys_type AS data_type, semantic_role, rough_kind FROM meta.columns ORDER BY table_name, column_name", "purpose": "Get complete list of all columns across all tables with their data types and semantic meanings", "source": "raw" } } ```