{
    "action": "tool_call",
    "reasoning": "I've already profiled beer_ratings, beers, places, and users for basic validity (ranges, nulls, duplicates). Now I need to check for outliers and impossible values in the remaining key tables: brewers (opened_at, out_of_business_date ranges could have historical anomalies), place_ratings (rating scales), and availability (temporal consistency). I'll also look for format inconsistencies in text fields and mixed units in numeric measures.",
    "tool": "inspect_columns",
    "args": {
        "table": "raw.brewers",
        "columns": [
            "opened_at",
            "out_of_business_date",
            "created_at",
            "updated_at",
            "city",
            "zip_code",
            "latitude",
            "longitude"
        ]
    }
}