get_resource_yaml

get_resource_yaml

Server K8s jingyanjiang/k8s-mcp
Category Read
Risk class Low
Parameters 00 required

What get_resource_yaml does on K8s

AI agents call get_resource_yaml to retrieve information from K8s without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_resource_yaml needs a policy

This tool retrieves and outputs existing Kubernetes resource definitions without modifying state. No side effects, reversible operations, code execution, or data destruction occurs. It is a read operation similar to 'kubectl get <resource> -o yaml', which queries cluster state for inspection purposes.

From the tool's definition Tool name 'get_resource_yaml' indicates retrieval of Kubernetes resource definitions in YAML format. The empty description and context of sibling tools (describe_resource, get_configmap, get_contexts) suggest this performs a read-only query operation.

Questions about get_resource_yaml

What does the get_resource_yaml tool do? +

get_resource_yaml. It is categorised as a Read tool in the K8s MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_resource_yaml? +

Register the K8s MCP server in PolicyLayer and add a rule for get_resource_yaml: 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 K8s. Nothing to install.

What risk level is get_resource_yaml? +

get_resource_yaml is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_resource_yaml? +

Yes. Add a rate_limit block to the get_resource_yaml 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 get_resource_yaml completely? +

Set action: deny in the PolicyLayer policy for get_resource_yaml. 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 get_resource_yaml? +

get_resource_yaml is provided by the K8s MCP server (jingyanjiang/k8s-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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