{
    "action": "tool_call",
    "reasoning": "From the evidence, I can see that 'Days' (reign duration) is the key metric, but it's VARCHAR with messy values (numbers, dashes, 'def.', etc.). 'Champion' is the primary category. Step-5 shows Days contains mostly non-numeric values ('def.' appears 56 times, '–' 54 times). I need to query the actual numeric Days values and aggregate by Champion. I'll filter for rows where Days is numeric (after removing commas), then sum total days per champion to show the distribution of championship reign duration across boxers.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT Champion, COUNT(*) as num_reigns, SUM(CAST(REPLACE(Days, ',', '') AS INTEGER)) as total_days, AVG(CAST(REPLACE(Days, ',', '') AS INTEGER)) as avg_days FROM raw.championsdataset WHERE Days NOT IN ('–', '−', '', 'def.', 'draw vs.') AND Days NOT LIKE '%def.%' AND Days NOT LIKE '%draw%' AND LENGTH(REPLACE(Days, ',', '')) > 0 AND REPLACE(Days, ',', '') ~ '^[0-9]+$' GROUP BY Champion ORDER BY total_days DESC LIMIT 50",
        "source": "raw",
        "purpose": "Calculate total reign days per champion, filtering for numeric Days values only"
    }
}