Intelligent MCP server for Kubernetes resource exploration, relationship mapping, and debugging with AI-powered insights
Three tools with complete schemas and descriptions, but significant gaps in parameter documentation and error handling guidance. list_resources and get_resource have good descriptions (100+ chars) and proper input schemas with types. kubectl tool lacks parameter descriptions entirely, the 'args' parameter has no guidance on valid kubectl commands or error recovery. No tool descriptions explain error cases, retryability, or recovery paths. Missing output schema documentation for all tools. Parameter descriptions are present but generic; none explain constraints, formats, or dependencies. No tool declares permissions or security implications despite kubectl being a WRITE operation.
Get a specific Kubernetes resource by name. Generic tool that works with any resource kind. For Pods: Uses smart matching if exact name not found (handles pod recreation).
Execute kubectl commands for operations not covered by specialized tools. Use this for flexibility when specialized tools don't fit. Examples: logs, exec, port-forward, apply, delete, etc.
List Kubernetes resources of any kind. Generic tool for listing resources. Replaces get_pods, get_deployments, get_services.
kubectl tool has no parameter descriptions. 'args' parameter lacks guidance on valid kubectl commands, format expectations, or error recovery. LLM cannot determine what commands are safe or how to handle failures.
No output schemas documented for any tool. LLMs cannot plan downstream calls or extract required fields (e.g., resource IDs for chaining). Violates pattern:response-shaper.
kubectl is a WRITE operation but has no error handling guidance, no confirmation/dry-run pattern, and no permission declaration. Agents could accidentally delete resources without recovery paths.
Parameter descriptions are generic and lack constraints. 'kind' accepts any string with no enum or validation guidance. 'labels' is an object with no schema for key-value pairs. LLMs will hallucinate invalid values.
Inferred effective spec: <=2025-11-25.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 54 | <=2025-11-25 | v2 |
No error classification or recovery guidance. Tools do not explain what to do if a resource is not found, if permissions are denied, or if the context is invalid. Agents cannot self-correct.