{
    "action": "tool_call",
    "reasoning": "The dataset card shows temporal axes in raw.boxing_klitschko (f_boxer_age and s_boxer_age), but step-1 reveals these are VARCHAR columns with values like '20..orthodox' — they're not clean temporal data. I need to check if there's an actual date/timestamp column I can use for trend analysis. The _ingestion_timestamp column exists but has only 1 distinct value (all rows ingested at once), so it won't show a trend. Let me search for any date-related columns across all tables to see if there's a proper time dimension.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT table_name, column_name, phys_type FROM meta.columns WHERE column_name ILIKE '%date%' OR column_name ILIKE '%time%' OR column_name ILIKE '%year%' OR phys_type IN ('DATE', 'TIMESTAMP')",
        "purpose": "Find any date/time columns that could serve as a temporal dimension for trend analysis",
        "source": "raw"
    }
}