Kubectl MCP Tool

# Task: Run diagnostic tools # Tests diagnostic and troubleshooting functionality name: cluster-diagnostics description: Run cluster diagnostics and gather health information category: advanced # Setup phase setup: script: ./setup.sh commands: # Create a test pod for diagnostics - | kubectl run diag-test --image=nginx:latest -n eval-test --restart=Never \ --labels=app=diag-test 2>/dev/null || true - kubectl wait --for=condition=Ready pod/diag-test -n eval-test --timeout=60s 2>/dev/null || true # The prompt to send to the AI agent prompt: | Perform a comprehensive diagnostic check on the eval-test namespace: 1. Get a summary of all nodes in the cluster 2. List all pods in the eval-test namespace with their status 3. Check pod logs for the diag-test pod 4. Describe the diag-test pod to see events 5. Check resource usage metrics if available 6. Compare the eval-test namespace configuration Provide a health report with any issues found. # Expected tool invocations and outputs assertions: # Node summary tool - toolPattern: "(get_nodes_summary|get_nodes|describe_node)" # Pod listing - toolPattern: "(get_pods|list_pods)" # Pod logs - toolPattern: "(get_pod_logs|pod_logs)" # Pod describe - toolPattern: "(describe_pod|get_pod_details)" # Output contains namespace - outputContains: "eval-test" # No errors - outputNotContains: "error" # Verification phase verify: commands: # Verify diagnostic pod exists - kubectl get pod diag-test -n eval-test # Verify we can get logs - kubectl logs diag-test -n eval-test --tail=1 # Cleanup phase cleanup: commands: - kubectl delete pod diag-test -n eval-test --ignore-not-found # Timeout in seconds timeout: 90 # Tags for filtering tags: - diagnostics - troubleshooting - advanced - logs