{
    "action": "tool_call",
    "reasoning": "I've identified avg_rating as the most important metric (the primary quality signal for beers) and beer style as the most important category (the fundamental classification system). Now I need to show how avg_rating varies across beer styles. I'll join beers to beer_styles to get style names, calculate the average rating per style, include the count of beers and total ratings to show significance, and order by average rating to reveal which styles are highest and lowest rated.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT bs.name AS style, COUNT(DISTINCT b.beer_id) AS beer_count, SUM(b.rating_count) AS total_ratings, ROUND(AVG(b.avg_rating), 3) AS avg_rating, ROUND(MIN(b.avg_rating), 3) AS min_rating, ROUND(MAX(b.avg_rating), 3) AS max_rating FROM raw.beers b JOIN raw.beer_styles bs ON b.style_id = bs.style_id WHERE b.avg_rating IS NOT NULL GROUP BY bs.name ORDER BY avg_rating DESC",
        "purpose": "Show how average beer rating varies across beer styles, revealing which styles receive the highest and lowest consumer ratings",
        "source": "raw"
    }
}