List all pods in a namespace or across all namespaces
AI agents call list_pods to retrieve information from Kubernetes Read Only MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only retrieves metadata about Kubernetes pods without modifying any resources. The action is a read-only query that has no side effects. Even if sensitive pod information is exposed, the exposure itself is not caused by the tool performing a destructive or privileged action—only by disclosure of existing state.
From the tool's definition Tool name is 'list_pods' and description states it 'List all pods in a namespace or across all namespaces'. Server description explicitly states 'read-only interaction' and 'without any create/update/delete operations'.
Documented attack patterns abuse exactly the kind of access list_pods gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kubernetes Read Only MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_pods:
{
"version": "1",
"default": "deny",
"tools": {
"list_pods": {}
}
}list_pods is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all pods in a namespace or across all namespaces. It is categorised as a Read tool in the Kubernetes Read Only MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Kubernetes Read Only MCP Server MCP server in PolicyLayer and add a rule for list_pods: 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 Read Only MCP Server. Nothing to install.
list_pods 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_pods 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_pods. 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_pods is provided by the Kubernetes Read Only MCP Server MCP server (vijaykodam/kubernetes-readonly-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kubernetes Read Only MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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8 Kubernetes Read Only MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.