{
    "action": "tool_call",
    "reasoning": "I've been trying to use gold tables that don't exist in the queryable space. The get_gold_tables results show 37 tables exist conceptually, but when I try to query them with source='gold', they're not found. I need to pivot to querying the raw tables directly. The most important metric is Points (the core performance measure), and the most important category is Assoc (country/association - strategically important for understanding global competitive strength). I'll query raw.ittf_rankings to get Points statistics by Assoc, combining both men's and women's data with a UNION to show the complete picture.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Assoc, COUNT(*) as ranking_records, SUM(Points) as total_points, AVG(Points) as avg_points, MIN(Points) as min_points, MAX(Points) as max_points, MEDIAN(Points) as median_points FROM raw.ittf_rankings GROUP BY Assoc UNION ALL SELECT Assoc, COUNT(*) as ranking_records, SUM(Points) as total_points, AVG(Points) as avg_points, MIN(Points) as min_points, MAX(Points) as max_points, MEDIAN(Points) as median_points FROM raw.ittf_rankings_women GROUP BY Assoc ORDER BY total_points DESC LIMIT 50",
        "purpose": "Show how Points (the key performance metric) varies across Assoc (country/association - the most strategically important category), combining men's and women's rankings to show complete competitive landscape",
        "source": "raw"
    }
}