{
    "action": "tool_call",
    "reasoning": "The evidence shows basic distributions (results, decisions, stances), but to identify natural segments I need to explore whether there are meaningful clusters based on fighter characteristics. Let me examine the distribution of key fighter attributes (age, height, reach, weight) to see if there are natural groupings or tiers that could segment the dataset meaningfully.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT COUNT(*) as total_matches, COUNT(CASE WHEN age_A IS NOT NULL AND age_B IS NOT NULL THEN 1 END) as matches_with_age, COUNT(CASE WHEN height_A IS NOT NULL AND height_B IS NOT NULL THEN 1 END) as matches_with_height, COUNT(CASE WHEN reach_A IS NOT NULL AND reach_B IS NOT NULL THEN 1 END) as matches_with_reach, COUNT(CASE WHEN weight_A IS NOT NULL AND weight_B IS NOT NULL THEN 1 END) as matches_with_weight, COUNT(CASE WHEN won_A IS NOT NULL AND won_B IS NOT NULL THEN 1 END) as matches_with_records FROM raw.boxing_matches",
        "purpose": "Check data completeness for key attributes that could be used for segmentation",
        "source": "raw"
    }
}