get_k8s_resource
Gets one or more Kubernetes resources from a cluster. Resources can be filtered by type, name, namespace, and label selectors. Returns the resources in YAML format. This is similar to running kubectl get.
This record as markdown: /tools/com-googleapis-container-mcp/get-k8s-resource.md
What get_k8s_resource does on Mcp
AI agents call get_k8s_resource 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 |
|---|---|---|---|
name | string | — | Optional. The name of the resource to retrieve. If not specified, all resources of the given type are returned. |
parent | string | Yes | Required. The cluster, which owns this collection of resources. Format: projects/{project}/locations/{location}/clusters/{cluster} |
namespace | string | — | Optional. The namespace of the resource. If not specified, all namespaces are searched. |
outputFormat | string | — | Optional. The output format. One of: (table, wide, yaml, json). If not specified, defaults to table. When both custom_columns and output_format are specified, o |
resourceType | string | Yes | Required. The type of resource to retrieve. Kubernetes resource/kind name in singular form, lower case. e.g. "pod", "deployment", "service". |
customColumns | string | — | Optional. The field mask to specify columns to display. Use a single "*" to get all fields. When both custom_columns and output_format are specified, output_for |
fieldSelector | string | — | Optional. A field selector to filter resources. |
labelSelector | string | — | Optional. A label selector to filter resources. |
Parameters from the server's own tool schema.
Why get_k8s_resource is rated Low
This tool retrieves and queries Kubernetes resources with optional filtering (type, name, namespace, label selectors) and returns them in YAML format. It performs no modifications, deletions, or external operations—purely data retrieval with no side effects.
From the tool's definition Tool description states 'Gets one or more Kubernetes resources from a cluster' and 'This is similar to running `kubectl get`.' The verb 'Gets' and the comparison to the read-only `kubectl get` command clearly indicate retrieval without modification.
Attacks that exploit this kind of access
The rule that runs get_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 get_k8s_resource, this is the rule to start with:
get_k8s_resource 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 get_k8s_resource call is checked against it from then on.
Questions about get_k8s_resource
Gets one or more Kubernetes resources from a cluster. Resources can be filtered by type, name, namespace, and label selectors. Returns the resources in YAML format. This is similar to running kubectl get. It is categorised as a Read tool in the Mcp MCP Server, which means it retrieves data without modifying state.
get_k8s_resource accepts 8 parameters: name, parent, namespace, outputFormat, resourceType, customColumns, fieldSelector, labelSelector. Required: parent, resourceType. 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 get_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.
get_k8s_resource 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 get_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.
Set action: deny in the PolicyLayer policy for get_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.
get_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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