{
    "action": "tool_call",
    "reasoning": "I have extensive evidence on ranges, nulls, and distributions. Now I need to check for specific data quality issues: (1) inconsistent formats in key text fields like chip types, owners, locations; (2) mixed units or impossible combinations (e.g. very high chip counts with very low power); (3) outliers beyond the IQR fences I already computed; (4) duplicate or near-duplicate entries. Let me start by examining the chip type field for format inconsistencies and the relationship between chip quantity and power to spot impossible combinations.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT \"Chip type (primary)\", COUNT(*) as count, MIN(\"Chip quantity (primary)\") as min_chips, MAX(\"Chip quantity (primary)\") as max_chips, MIN(\"Power Capacity (MW)\") as min_power, MAX(\"Power Capacity (MW)\") as max_power FROM raw.ai_supercomputers GROUP BY \"Chip type (primary)\" ORDER BY count DESC LIMIT 20",
        "purpose": "Check chip type field for format inconsistencies and examine chip-to-power ratios by type",
        "source": "raw"
    }
}