List Kubernetes resources of a specific kind. This tool lists Kubernetes resources of a specified kind in an EKS cluster, with options to filter by namespace, labels, and fields. It returns a summary of each resource including name, namespace, creation time, and metadata, useful for listing pods...
Single-target operation
Part of the Amazon EKS MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents call list_k8s_resources to retrieve information from Amazon EKS MCP Server without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.
Even though list_k8s_resources only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.
Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.
tools:
list_k8s_resources:
rules:
- action: allow See the full Amazon EKS MCP Server policy for all 16 tools.
Agents calling read-class tools like list_k8s_resources have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.
List Kubernetes resources of a specific kind. This tool lists Kubernetes resources of a specified kind in an EKS cluster, with options to filter by namespace, labels, and fields. It returns a summary of each resource including name, namespace, creation time, and metadata, useful for listing pods in a namespace, finding services with specific labels, or checking resources in a specific state. IMPORTANT: Use this tool instead of 'kubectl get' commands. ## Response Information The response includes a summary of each resource with name, namespace, creation timestamp, labels, and annotations. ## Usage Tips - Use the list_api_versions tool first to find available API versions - For non-namespaced resources (like Nodes), the namespace parameter is ignored - Combine label and field selectors for more precise filtering - Results are summarized to avoid overwhelming responses Args: ctx: MCP context cluster_name: Name of the EKS cluster kind: Kind of the Kubernetes resources (e.g., 'Pod', 'Service') api_version: API version of the Kubernetes resources (e.g., 'v1', 'apps/v1') namespace: Namespace of the Kubernetes resources (optional) label_selector: Label selector to filter resources (optional) field_selector: Field selector to filter resources (optional) Returns: KubernetesResourceListResponse with operation result. It is categorised as a Read tool in the Amazon EKS MCP Server MCP Server, which means it retrieves data without modifying state.
Add a rule in your Intercept YAML policy under the tools section for list_k8s_resources. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Amazon EKS MCP Server MCP server.
list_k8s_resources is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_k8s_resources rule in your Intercept policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the Intercept policy for list_k8s_resources. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
list_k8s_resources is provided by the Amazon EKS MCP Server MCP server (awslabs.eks-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.