{
    "action": "tool_call",
    "reasoning": "The question asks for natural segmentation/grouping of records. I've seen the dataset has temporal (Season, Week, GameDate), categorical (AwayTeam, HomeTeam, GameSlot, GameStatus), and measure (AwayScore, HomeScore) columns. I need to understand the distribution of key dimensions to identify natural segments. Let me examine the GameStatus and GameSlot distributions, and look at team counts to see if there are natural groupings.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT GameStatus, COUNT(*) as game_count, COUNT(DISTINCT Season) as seasons_present FROM raw.\"2010_2026_scores\" GROUP BY GameStatus ORDER BY game_count DESC",
        "purpose": "Examine GameStatus distribution to identify natural game type segments",
        "source": "raw"
    }
}