Plexar exposes 6 Kubernetes security tools with clear, domain-specific descriptions (avg 150 chars). All tools have input schemas with type definitions and parameter descriptions. However, output schemas are not documented, LLMs cannot predict response structure for chaining. Parameter descriptions lack format constraints (e.g., namespace validation, severity enum values). No error handling guidance or recovery paths. Tools are well-named (verb_noun pattern) and focused on single concerns, but lack pagination, result limits, and field-level documentation needed for production agent use.

• Document output schemas for all 6 tools. Define response structure as JSON Schema with field types, descriptions, and examples. E.g., scan_namespace returns {pods: [{name, risk_score, workload_type}], summary: {total_pods, critical_count}}.
• Convert parameter constraints to JSON Schema enums and format declarations. Change find_critical_cves min_severity from prose description to enum: ['critical', 'high', 'medium']. Add namespace pattern validation (e.g., ^[a-z0-9-]+$).
• Add pagination to tools returning lists. Introduce limit (default 20, max 100) and offset/cursor parameters. Document result caps in descriptions: 'Returns up to 50 pods; use offset for pagination.'
• Implement error handling with recovery guidance. Return structured errors: {error: 'namespace_not_found', message: 'Namespace default does not exist', suggestion: 'Try scan_namespace with namespace=kube-system'}.
• Ensure tool outputs include IDs and references for chaining. scan_namespace response must include pod names/IDs so get_pod_risk can be called immediately without a separate lookup.