{
    "action": "tool_call",
    "reasoning": "I've already checked beer_ratings (no duplicates on user_id, beer_id, created_at) and confirmed beers, place_ratings, and users have no duplicates. The previous attempt to check beer_upcs failed because COUNT(DISTINCT ...) only accepts one column in DuckDB. I need to check the remaining tables for duplicates using GROUP BY with HAVING COUNT(*) > 1 instead. Let me check beer_upcs, favorites, availability, places, and brewers for duplicate rows.",
    "tool": "query_sql",
    "args": {
        "sql": "WITH beer_upcs_dupes AS (SELECT beer_id, upc, COUNT(*) as cnt FROM raw.beer_upcs GROUP BY beer_id, upc HAVING COUNT(*) > 1), favorites_dupes AS (SELECT user_id, beer_id, COUNT(*) as cnt FROM raw.favorites GROUP BY user_id, beer_id HAVING COUNT(*) > 1), availability_dupes AS (SELECT beer_id, place_id, COUNT(*) as cnt FROM raw.availability GROUP BY beer_id, place_id HAVING COUNT(*) > 1), places_dupes AS (SELECT place_id, COUNT(*) as cnt FROM raw.places GROUP BY place_id HAVING COUNT(*) > 1), brewers_dupes AS (SELECT brewer_id, COUNT(*) as cnt FROM raw.brewers GROUP BY brewer_id HAVING COUNT(*) > 1) SELECT 'beer_upcs' as table_name, COUNT(*) as duplicate_groups, SUM(cnt) as total_duplicate_rows FROM beer_upcs_dupes UNION ALL SELECT 'favorites', COUNT(*), SUM(cnt) FROM favorites_dupes UNION ALL SELECT 'availability', COUNT(*), SUM(cnt) FROM availability_dupes UNION ALL SELECT 'places', COUNT(*), SUM(cnt) FROM places_dupes UNION ALL SELECT 'brewers', COUNT(*), SUM(cnt) FROM brewers_dupes",
        "purpose": "Check remaining tables (beer_upcs, favorites, availability, places, brewers) for duplicate rows based on their primary keys"
    }
}