All 4 tools have basic verb-noun naming (list_pods, list_services, get_events, list_deployments) and short descriptions (18-48 chars). However, descriptions are minimal and lack context for LLM selection. Input schemas are present but trivial (single string param). Output schemas are completely undocumented, no return type specifications visible. No error handling guidance, no pagination support despite list tools returning unbounded results, no parameter validation hints. Tools lack the depth needed for production agent use.

• Add explicit output schemas to each tool. Document the structure of returned Pod, Service, Event, and Deployment objects with field types and descriptions. Example: 'Returns list of {name: string, namespace: string, status: string, ready_replicas: int}'.
• Expand descriptions to 100-150 chars. Include WHEN to use each tool: 'List all pods in a namespace to discover running workloads. Use this before inspecting individual pod logs or events. Returns pod names, namespaces, and status.'
• Add pagination parameters (limit: 1-500, offset: 0+) and return total_count. Cap default results at 20-50 items. Document in description: 'Returns up to 50 pods; use limit and offset for pagination.'
• Wrap Kubernetes API calls in try-except blocks. Return structured errors: 'Namespace "default" not found. Available namespaces: kube-system, kube-public, default' instead of raw exceptions.
• Add optional filters to list tools. E.g. list_pods(namespace, label_selector=None, field_selector=None) to let agents narrow results without extra calls.