{
    "action": "tool_call",
    "reasoning": "I have good coverage of numeric outliers and missing data from steps 1-6. Now I need to check for inconsistent formats and mixed units in key text fields. The dataset has many VARCHAR columns that likely contain numeric values in various formats (e.g., 'Training dataset size (total)', 'Parameters notes', 'Training compute notes'). I should examine these for format inconsistencies, unit mixing, and text-vs-numeric issues.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT 'Training dataset size' as field, \"Training dataset size (total)\" as sample_value FROM raw.all_ai_models WHERE \"Training dataset size (total)\" IS NOT NULL AND \"Training dataset size (total)\" != '' LIMIT 10",
        "purpose": "Sample the Training dataset size field to check for format inconsistencies and mixed units",
        "source": "raw"
    }
}