{
    "action": "tool_call",
    "reasoning": "I need to profile the users table for data quality issues, checking temporal consistency, rating counts, and numeric ranges in one comprehensive query.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) as total_users, COUNT(DISTINCT user_id) as distinct_ids, COUNT(*) - COUNT(DISTINCT user_id) as duplicate_ids, COUNT(beer_first_rating) as has_first_rating, MIN(beer_first_rating) as min_first_rating, MAX(beer_first_rating) as max_first_rating, COUNT(beer_last_rating) as has_last_rating, MIN(beer_last_rating) as min_last_rating, MAX(beer_last_rating) as max_last_rating, COUNT(CASE WHEN beer_last_rating < beer_first_rating THEN 1 END) as last_before_first, COUNT(place_first_rating) as has_place_first, MIN(place_first_rating) as min_place_first, MAX(place_first_rating) as max_place_first, COUNT(place_last_rating) as has_place_last, MIN(place_last_rating) as min_place_last, MAX(place_last_rating) as max_place_last, COUNT(CASE WHEN place_last_rating < place_first_rating THEN 1 END) as place_last_before_first, COUNT(beer_ratings_count) as has_beer_count, MIN(beer_ratings_count) as min_beer_count, MAX(beer_ratings_count) as max_beer_count, COUNT(place_ratings_count) as has_place_count, MIN(place_ratings_count) as min_place_count, MAX(place_ratings_count) as max_place_count FROM raw.users",
        "purpose": "Profile users table for data quality issues - check temporal consistency, rating counts, and numeric ranges",
        "source": "raw"
    }
}