List Kubernetes Secrets with metadata (keys only, values hidden for security).
AI agents call k8s_list_secret to retrieve information from Multi Cluster Kubernetes MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is fundamentally a Read operation: it retrieves and enumerates existing Kubernetes Secrets without modifying, deleting, or executing anything. However, severity is elevated to 'medium' rather than 'low' because Secrets are sensitive resources containing credentials, API keys, and other confidential data.
From the tool's definition Tool name 'k8s_list_secret' indicates listing/querying Kubernetes Secrets. Description confirms it 'List Kubernetes Secrets with metadata (keys only, values hidden for security)' — a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access k8s_list_secret gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Multi Cluster Kubernetes MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for k8s_list_secret:
{
"version": "1",
"default": "deny",
"tools": {
"k8s_list_secret": {}
}
} k8s_list_secret is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List Kubernetes Secrets with metadata (keys only, values hidden for security). It is categorised as a Read tool in the Multi Cluster Kubernetes MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Multi Cluster Kubernetes MCP Server MCP server in PolicyLayer and add a rule for k8s_list_secret: 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 Multi Cluster Kubernetes MCP Server. Nothing to install.
k8s_list_secret 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 k8s_list_secret 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 k8s_list_secret. 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.
k8s_list_secret is provided by the Multi Cluster Kubernetes MCP Server MCP server (razvanmacovei/k8s-multicluster-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Multi Cluster Kubernetes 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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57 Multi Cluster Kubernetes MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.