list_k8s_resources · Amazon Redshift MCP Server MCP

WHAT IT DOES

What list_k8s_resources does on Amazon Redshift MCP Server

AI agents call list_k8s_resources to retrieve information from Amazon Redshift MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

THE RISK

Low Risk

Why list_k8s_resources needs a policy

The 'list' prefix indicates a retrieval/query operation with no side effects. This is a Read category tool. Severity is medium rather than low because Kubernetes resources may contain sensitive configuration data (secrets, credentials, deployment details), and listing them could expose security-relevant information if an agent misuses this capability.

From the tool's definition Tool name 'list_k8s_resources' uses 'list' verb which retrieves Kubernetes resources without modifying them. The description is empty, but the name strongly suggests a read operation that queries resource state.

Documented attack patterns abuse exactly the kind of access list_k8s_resources gives an agent:

POLICY

How to control list_k8s_resources

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Redshift MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_k8s_resources:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_k8s_resources": {}
  }
}

list_k8s_resources 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 Amazon Redshift 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

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All 805 Amazon Redshift MCP Server tools →

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
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 →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about list_k8s_resources

What does the list_k8s_resources tool do? +

list_k8s_resources. It is categorised as a Read tool in the Amazon Redshift MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_k8s_resources? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for list_k8s_resources: 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 Amazon Redshift MCP Server. Nothing to install.

What risk level is list_k8s_resources? +

list_k8s_resources is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_k8s_resources? +

Yes. Add a rate_limit block to the list_k8s_resources 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 list_k8s_resources completely? +

Set action: deny in the PolicyLayer policy for list_k8s_resources. 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 list_k8s_resources? +

list_k8s_resources is provided by the Amazon Redshift MCP Server MCP server (awslabs.redshift-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon Redshift MCP Server tool call.

Start from Amazon Redshift 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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