I need to examine the quality_issues table to understand what data quality problems have been detected in this dataset. {"action": "tool_call", "reasoning": "The quality_issues table contains detected quality problems. I'll query it to see what kinds of issues exist, their severity, and frequency. The 'kind' column shows issue types (high_null, other), 'severity' shows importance (high, medium), and 'message' contains the specific problem descriptions.", "tool": "query_sql", "purpose": "Get all quality issues with their types, severity, and descriptions", "args": {"sql": "SELECT kind, severity, COUNT(*) as issue_count, COUNT(DISTINCT dataset_id) as datasets_affected FROM raw.quality_issues GROUP BY kind, severity ORDER BY issue_count DESC", "purpose": "Summary of quality issue types and severity"}}