list_k8s_api_resources
Retrieves the available API groups and resources from a Kubernetes cluster. This is similar to running kubectl api-resources.
This record as markdown: /tools/com-googleapis-container-mcp/list-k8s-api-resources.md
What list_k8s_api_resources does on Mcp
AI agents call list_k8s_api_resources to retrieve information from Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
parent | string | Yes | Required. The cluster, which owns this collection of resource types. Format: projects/{project}/locations/{location}/clusters/{cluster} |
Parameters from the server's own tool schema.
Why list_k8s_api_resources is rated Low
This tool queries metadata about available Kubernetes API resources without modifying state, executing workloads, or accessing sensitive data beyond cluster schema information. The blast radius of misuse is minimal—an attacker gains only knowledge of what resource types exist in the cluster, not access to actual resources or their data. This is informational read-access only.
From the tool's definition Tool name contains 'list' and description states 'Retrieves the available API groups and resources' with no mention of modification, deletion, or execution. Analogous to `kubectl api-resources` which is a read-only introspection command.
Attacks that exploit this kind of access
The rule that runs list_k8s_api_resources safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_k8s_api_resources, this is the rule to start with:
list_k8s_api_resources is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every list_k8s_api_resources call is checked against it from then on.
Questions about list_k8s_api_resources
Retrieves the available API groups and resources from a Kubernetes cluster. This is similar to running kubectl api-resources. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.
list_k8s_api_resources accepts 1 parameter: parent. Required: parent. The full parameter table on this page comes from the server's own tool schema.
Register the MCP server in PolicyLayer and add a rule for list_k8s_api_resources: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Mcp. Nothing to install.
list_k8s_api_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_api_resources rule in your PolicyLayer 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 PolicyLayer policy for list_k8s_api_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_api_resources is provided by the MCP server (https://container.googleapis.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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