k8s_get_secret_detail

THE RISK

Low Risk

Why k8s_get_secret_detail needs a policy

Although this is a Read operation (retrieves secret metadata), it accesses sensitive authentication credentials and secrets stored in Kubernetes, which could expose API keys, passwords, tokens, or other secrets if an AI agent misuses it without proper authorization controls. The high severity reflects the sensitivity of the data accessible, not the action category itself.

From the tool's definition Tool name 'k8s_get_secret_detail' and description 'Get a Kubernetes Secret' indicate data retrieval with no modification. The note about 'shows only key names for security' confirms read-only behavior.

Documented attack patterns abuse exactly the kind of access k8s_get_secret_detail gives an agent:

POLICY

How to control k8s_get_secret_detail

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_get_secret_detail:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "k8s_get_secret_detail": {}
  }
}

k8s_get_secret_detail is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Multi Cluster Kubernetes MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

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EXPLORE

Related tools and policies

More Multi Cluster Kubernetes MCP Server tools

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All 57 Multi Cluster Kubernetes MCP Server tools →

Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about k8s_get_secret_detail

What does the k8s_get_secret_detail tool do? +

Get a Kubernetes Secret. By default shows only key names 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.

How do I enforce a policy on k8s_get_secret_detail? +

Register the Multi Cluster Kubernetes MCP Server MCP server in PolicyLayer and add a rule for k8s_get_secret_detail: 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.

What risk level is k8s_get_secret_detail? +

k8s_get_secret_detail is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit k8s_get_secret_detail? +

Yes. Add a rate_limit block to the k8s_get_secret_detail 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 k8s_get_secret_detail completely? +

Set action: deny in the PolicyLayer policy for k8s_get_secret_detail. 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 k8s_get_secret_detail? +

k8s_get_secret_detail 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.

Enforce policy on every Multi Cluster Kubernetes MCP Server tool call.

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.

CHECK YOUR STACK →