k8s.get_service_endpoints

Retrieves a service and its endpoints to verify connectivity

Server K8s Mcp Assistant nicolasmosquerar/k8s-mcp-assistant
Category Read
Risk class Low
Parameters 00 required

What k8s.get_service_endpoints does on K8s Mcp Assistant

AI agents call k8s.get_service_endpoints to retrieve information from K8s Mcp Assistant without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why k8s.get_service_endpoints needs a policy

This tool queries Kubernetes service and endpoint information for inspection purposes. It performs a GET-style operation that retrieves existing data without creating, modifying, deleting, or executing anything. The server context reinforces this is read-only access intended for developers to inspect cluster state.

From the tool's definition Tool description states 'Retrieves a service and its endpoints' and server is explicitly described as 'read-only Kubernetes MCP server'. The verb 'retrieves' and the absence of mutation language confirm this is a query operation with no side effects.

Questions about k8s.get_service_endpoints

What does the k8s.get_service_endpoints tool do? +

Retrieves a service and its endpoints to verify connectivity. It is categorised as a Read tool in the K8s Mcp Assistant MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on k8s.get_service_endpoints? +

Register the K8s Mcp Assistant MCP server in PolicyLayer and add a rule for k8s.get_service_endpoints: 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 K8s Mcp Assistant. Nothing to install.

What risk level is k8s.get_service_endpoints? +

k8s.get_service_endpoints is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit k8s.get_service_endpoints? +

Yes. Add a rate_limit block to the k8s.get_service_endpoints 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_service_endpoints completely? +

Set action: deny in the PolicyLayer policy for k8s.get_service_endpoints. 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_service_endpoints? +

k8s.get_service_endpoints is provided by the K8s Mcp Assistant MCP server (nicolasmosquerar/k8s-mcp-assistant). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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