{
    "action": "tool_call",
    "reasoning": "I have evidence on quality_issues (384 'other' medium, 25 'high_null' medium, 8 'high_null' high) and neal_findings (outliers, relationships, differences, concentration, key_integrity, missingness, movement, duplication). The question asks about data quality issues broadly — outliers, impossible values, inconsistent formats, mixed units. I've seen outlier findings and high-null issues. To give a complete picture, I should check if there are other quality dimensions captured. Let me look at the most common quality_issues messages to see what 'other' medium severity issues actually describe, since that's the largest category (384 occurrences). Step-3 already showed the top messages — the dominant one is 'No FK relationships detected' (107 occurrences), which is a topology observation, not a data-quality defect. The next tier is high-null warnings for specific columns. I should also check if there are any findings about impossible values, format inconsistencies, or unit mixing. Let me search neal_findings for keywords like 'impossible', 'format', 'unit', 'inconsistent' to see if those issues are captured.",
    "tool": "query_sql",
    "args": {
        "sql": "SELECT kind, severity, summary FROM raw.neal_findings WHERE LOWER(summary) LIKE '%impossible%' OR LOWER(summary) LIKE '%format%' OR LOWER(summary) LIKE '%unit%' OR LOWER(summary) LIKE '%inconsistent%' LIMIT 20",
        "purpose": "Check if neal_findings captures impossible values, format inconsistencies, or unit mixing issues"
    }
}