I'll systematically examine data quality issues across both tables, looking for outliers, impossible values, inconsistent formats, and mixed units. {"action": "tool_call", "reasoning": "The inspect_columns results already revealed several concerning patterns: height column in fighters has '13 Dec 1916' as a value (a date instead of height), country column has values like '75.20 inches (191 cm)' (appears to be height data), and reach has '5.91 ft (1.80 m)' (height format). I need to query the fighters table to see the extent of these column misalignments and check for other quality issues like the ko_rate format (stored as VARCHAR with '%' symbols), age having 'Unknown' values, and potential outliers in numeric fields.", "tool": "query_sql", "args": {"sql": "SELECT COUNT(*) as total_rows, COUNT(DISTINCT height) as distinct_heights, COUNT(DISTINCT country) as distinct_countries, COUNT(DISTINCT reach) as distinct_reaches, SUM(CASE WHEN height LIKE '%ft%' OR height LIKE '%cm%' OR height LIKE '%inches%' THEN 1 ELSE 0 END) as height_with_units, SUM(CASE WHEN country LIKE '%ft%' OR country LIKE '%cm%' OR country LIKE '%inches%' THEN 1 ELSE 0 END) as country_with_units, SUM(CASE WHEN reach LIKE '%ft%' OR reach LIKE '%cm%' THEN 1 ELSE 0 END) as reach_with_units, SUM(CASE WHEN height = 'Unknown' THEN 1 ELSE 0 END) as height_unknown, SUM(CASE WHEN age = 'Unknown' THEN 1 ELSE 0 END) as age_unknown, SUM(CASE WHEN reach = 'Unknown' THEN 1 ELSE 0 END) as reach_unknown FROM raw.fighters", "purpose": "Check extent of column misalignment and format issues in fighters table", "source": "raw"}}