I'll systematically check for data quality issues across both tables. Let me start by examining the column metadata and then look for specific problems. ```json { "action": "tool_call", "reasoning": "First, I need to understand the structure and basic statistics of both tables to identify potential quality issues. I'll inspect the columns to see types, null counts, and value ranges.", "tool": "inspect_columns", "args": { "table": "raw.ittf_rankings" } } ```