{
    "action": "tool_call",
    "reasoning": "I need to investigate the most surprising aspects. The dataset claims to be historical (2017-2023 in the title) but contains data through 2026. Let me check the distribution of games and null scores by season to understand what's actually in this dataset.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Season, COUNT(*) as total_games, SUM(CASE WHEN AwayScore IS NULL THEN 1 ELSE 0 END) as null_scores, SUM(CASE WHEN GameStatus = 'Final' THEN 1 ELSE 0 END) as completed_games, SUM(CASE WHEN GameStatus = 'TBD' THEN 1 ELSE 0 END) as tbd_games FROM raw.\"2010_2026_scores\" GROUP BY Season ORDER BY Season",
        "purpose": "Understand the distribution of completed vs future games by season, and identify why a 'historical' dataset contains future years",
        "source": "raw"
    }
}