```json { "action": "tool_call", "reasoning": "I have inspect_columns results showing metadata for all 12 columns, but I need to examine the actual data values more closely to properly classify them. The metadata shows VARCHAR types for most columns, but I need to determine which are truly numeric (stored as text), which are dates (stored as text), and which are categorical. I'll query the table to see sample values and check data patterns for proper classification.", "tool": "query_sql", "args": { "sql": "SELECT No, Champion, Recognition, Begin_reign, End_reign, Days, Title_defenses, Additional_recognition FROM raw.championsdataset LIMIT 10", "purpose": "Examine actual data values to classify columns by their semantic type (identifier, categorical, numeric, temporal)", "source": "raw" } } ```