An autonomous Kubernetes SRE system that detects memory threshold breaches, investigates incidents via MCP tools, and executes remediation (restart or memory patching) using AI-driven decision logic with escalation policies.
Critical gaps across all dimensions. Tool definitions lack proper schemas, descriptions are vague or missing parameter details, and error handling is absent. No input validation or recovery guidance. Tools accept free-form natural language intent strings instead of structured parameters. The server conflates tool logic with NL parsing, violating separation of concerns. No pagination, no output schema documentation, and no security controls (e.g., RBAC, audit logging). This is a prototype, not production-ready.
Use this tool to interact with the Kubernetes cluster. Translates NL to K8s API calls.
Retrieves current memory limits and requests configuration for the deployment. Returns container resource limits from deployment spec.
Retrieves live logs from a specified pod. Extracts pod name from intent using regex pattern matching. Falls back to finding a running pod by label selector if original pod not found.
Patches deployment memory limits and requests. Extracts memory value from intent, normalizes suffix (Ki/Mi/Gi), sets limit and request (half of limit).
Executes a rolling restart of the deployment via annotation patch. Sets kubectl.kubernetes.io/restartedAt annotation to current UTC timestamp.
Executes a strategic rollback to stable revision in response to application-level failure.
No input schemas visible. All tools accept a single 'intent' string parameter with no type constraints, enums, or validation rules. Violates pattern:constrained-input and pattern:tool-description.
Tool logic embeds NL parsing (regex, keyword matching) instead of accepting structured parameters. LLM must craft exact intent strings; any variation breaks the tool. Violates pattern:tool and mxe:chat-data-model.
No output schema documentation. Tools return jsonify() responses with unstructured 'result' strings. LLM cannot parse structured data or chain tool calls. Violates pattern:response-shaper.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 27 | 2026-07-28+ | v2 |
No error handling or recovery guidance. Exceptions caught but returned as generic error strings. LLM has no way to know if error is retryable, user-fixable, or fatal. Violates pattern:recovery-guide and pattern:error-classification.
No security controls. No RBAC, no audit logging, no rate limiting, no dry-run for destructive ops (patch, restart, rollback). Violates pattern:permission-gate, pattern:audit-trail, and pattern:confirmation-request.