{
    "action": "tool_call",
    "reasoning": "I've already inspected beer_ratings and found no invalid values in the core rating fields (aroma, flavor, mouthfeel, appearance, overall, total_score all within expected ranges). I found 244,970 suspicious description_score values (range -10495 to 500, median 1.0). Now I need to check other tables for quality issues. Let me start with a comprehensive profile of beers table to check for outliers in alcohol_pct, ibu, and other measures.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) as total_beers, COUNT(DISTINCT beer_id) as distinct_ids, COUNT(*) - COUNT(DISTINCT beer_id) as duplicate_ids, COUNT(alcohol_pct) as has_alcohol, MIN(alcohol_pct) as min_alcohol, MAX(alcohol_pct) as max_alcohol, AVG(alcohol_pct) as avg_alcohol, MEDIAN(alcohol_pct) as median_alcohol, COUNT(ibu) as has_ibu, MIN(ibu) as min_ibu, MAX(ibu) as max_ibu, AVG(ibu) as avg_ibu, MEDIAN(ibu) as median_ibu, COUNT(avg_rating) as has_avg_rating, MIN(avg_rating) as min_avg_rating, MAX(avg_rating) as max_avg_rating, COUNT(real_avg_rating) as has_real_avg_rating, MIN(real_avg_rating) as min_real_avg_rating, MAX(real_avg_rating) as max_real_avg_rating, COUNT(rating_count) as has_rating_count, MAX(rating_count) as max_rating_count FROM raw.beers",
        "purpose": "Profile beers table for outliers and impossible values in alcohol_pct, ibu, and rating fields",
        "source": "raw"
    }
}