{
    "action": "tool_call",
    "reasoning": "The question asks for most common values across main categorical columns in beer_ratings. From the inspect_columns result, I can see the categorical/dimension columns are: language (76 distinct values), and the identifier columns (user_id, beer_id) which represent categorical entities. The measure columns (aroma, flavor, etc.) are ordinal ratings, not truly categorical. I should query the frequency distribution for language, and also look at the top users and beers since those are the main categorical dimensions. I'll write one SQL query to get top values and counts for each of these columns.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH language_top AS (SELECT 'language' as column_name, language as value, COUNT(*) as frequency FROM raw.beer_ratings WHERE language IS NOT NULL GROUP BY language ORDER BY frequency DESC LIMIT 10), user_top AS (SELECT 'user_id' as column_name, CAST(user_id AS VARCHAR) as value, COUNT(*) as frequency FROM raw.beer_ratings GROUP BY user_id ORDER BY frequency DESC LIMIT 10), beer_top AS (SELECT 'beer_id' as column_name, CAST(beer_id AS VARCHAR) as value, COUNT(*) as frequency FROM raw.beer_ratings WHERE beer_id IS NOT NULL GROUP BY beer_id ORDER BY frequency DESC LIMIT 10) SELECT * FROM language_top UNION ALL SELECT * FROM user_top UNION ALL SELECT * FROM beer_top",
        "purpose": "Get frequency distribution of most common values for main categorical columns: language, user_id, and beer_id",
        "source": "raw"
    }
}