patch_k8s_resource

Patches a Kubernetes resource. This is similar to running kubectl patch.

SERVERMcp SOURCEhttps://container.googleapis.com/mcp

Medium RISK CLASS

Category Write

Parameters 64 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-googleapis-container-mcp/patch-k8s-resource.md

WHAT IT DOES

What patch_k8s_resource does on Mcp

AI agents use patch_k8s_resource to create or update resources in Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp environment.

Parameter	Type	Required	Description
`name`	string	Yes	Required. The name of the resource to patch.
`patch`	string	Yes	Required. The patch to apply in JSON format.
`parent`	string	Yes	Required. The cluster to patch the resource in. Format: projects/{project}/locations/{location}/clusters/{cluster}
`namespace`	string	—	Optional. The namespace of the resource. If not specified, "default" is used.
`patchType`	string	—	Optional. The patch strategy to apply. Valid values are "strategic", "merge", or "json". If not specified, "strategic" patch type will be used.
`resourceType`	string	Yes	Required. The type of resource to patch. e.g. "pods", "deployments", "services".

Parameters from the server's own tool schema.

RISK

Why patch_k8s_resource is rated Medium

Patching is a reversible modification operation that updates Kubernetes resource configurations. While it changes state, patches do not irreversibly delete data (which would be Destructive) and do not execute arbitrary code (which would be Execute).

From the tool's definition Tool name 'patch_k8s_resource' and description states it 'Patches a Kubernetes resource' similar to 'kubectl patch', which modifies existing resources in place.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs patch_k8s_resource 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 patch_k8s_resource, this is the rule to start with:

patch_k8s_resource Rate-limited

patch_k8s_resource stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "patch_k8s_resource": {
      "limits": [
        {
          "counter": "patch_k8s_resource_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every patch_k8s_resource call is checked against it from then on.

FAQ

Questions about patch_k8s_resource

What does the patch_k8s_resource tool do? +

Patches a Kubernetes resource. This is similar to running kubectl patch. It is categorised as a Write tool in the Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does patch_k8s_resource accept? +

patch_k8s_resource accepts 6 parameters: name, patch, parent, namespace, patchType, resourceType. Required: name, patch, parent, resourceType. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on patch_k8s_resource? +

Register the MCP server in PolicyLayer and add a rule for patch_k8s_resource: 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.

What risk level is patch_k8s_resource? +

patch_k8s_resource is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit patch_k8s_resource? +

Yes. Add a rate_limit block to the patch_k8s_resource 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.

How do I block patch_k8s_resource completely? +

Set action: deny in the PolicyLayer policy for patch_k8s_resource. 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.

What MCP server provides patch_k8s_resource? +

patch_k8s_resource 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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