{
    "action": "tool_call",
    "reasoning": "I have the column metadata from step-0, but I need to examine actual sample values to accurately classify columns. The metadata shows VARCHAR types for most columns, but the ranges suggest some may contain numeric or date data (e.g., 'Days' shows range '..-', 'Recognition' shows '456..present'). I'll query sample rows to see the actual data format and content, which will allow me to definitively classify each column as identifier, categorical dimension, numeric metric, or date/time.",
    "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 sample values to classify column types accurately",
        "source": "raw"
    }
}