AI agents call get_resource_yaml to retrieve information from Kubernetes Monitor without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves Kubernetes resource YAML configurations, which is a read operation with no side effects. It fits the 'Read' category as it queries and retrieves data. Severity is low because unauthorized reads of cluster config pose moderate information disclosure risk but no immediate operational harm.
From the tool's definition Tool is part of a 'read-only MCP server for Kubernetes' and follows the pattern of sibling tools (list_*, get_*) which are all read operations. The tool name 'get_resource_yaml' indicates retrieval of resource configurations without modification.
Documented attack patterns abuse exactly the kind of access get_resource_yaml gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kubernetes Monitor, and nothing reaches the server without passing your rules. This is the rule we recommend for get_resource_yaml:
{
"version": "1",
"default": "deny",
"tools": {
"get_resource_yaml": {}
}
}get_resource_yaml is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_resource_yaml. It is categorised as a Read tool in the Kubernetes Monitor MCP Server, which means it retrieves data without modifying state.
Register the Kubernetes Monitor 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 Kubernetes Monitor. Nothing to install.
get_resource_yaml 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_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.
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.
get_resource_yaml is provided by the Kubernetes Monitor MCP server (vlttnv/k8s-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kubernetes Monitor, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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12 Kubernetes Monitor tools catalogued and risk-classified — across an index of 43,000+ MCP servers.