{
    "action": "tool_call",
    "reasoning": "I've already profiled the basic structure and confirmed no nulls, consistent medal values (1-3), and uniform year coverage. Now I need to check for data quality issues in the categorical and text fields: (1) inconsistent country name formats, (2) duplicate medalists with different spellings, (3) event naming consistency, (4) era/event_type/gender alignment issues, (5) impossible combinations (e.g., wrong gender for event). Let me start by examining the distinct values and patterns in the categorical columns.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT country, COUNT(*) as medal_count, COUNT(DISTINCT year) as years_won, COUNT(DISTINCT event) as events_won FROM raw.olympic_table_tennis_medals_1988_2024 GROUP BY country ORDER BY medal_count DESC",
        "purpose": "Check country name consistency and distribution to identify potential formatting issues or duplicates",
        "source": "raw"
    }
}