```json { "action": "tool_call", "reasoning": "I need to identify all numeric columns across both tables and compute their distributions. From the evidence, I can see adsl has AGE (BIGINT) and SUBJID (BIGINT), SITEID (BIGINT), and DMDY (VARCHAR but appears numeric). The ae table has AESEQ (BIGINT). I need to see the remaining columns beyond the first 30 shown for both tables to ensure I capture all numeric columns, then write one comprehensive SQL query to compute min, max, mean, median, and stddev for all of them.", "tool": "inspect_columns", "args": { "table": "adsl", "columns": null } } ```