k8s_describe_deployment

Get full description of a deployment including events and conditions

Server Kubernetes MCP Server mjrestivo16/mcp-kubernetes
Category Read
Risk class Low
Parameters 00 required

What k8s_describe_deployment does on Kubernetes MCP Server

AI agents call k8s_describe_deployment to retrieve information from Kubernetes MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why k8s_describe_deployment needs a policy

This tool queries and retrieves information about Kubernetes deployment objects, including their status, events, and conditions. It performs a read-only operation analogous to 'kubectl describe deployment' and has no side effects on cluster state. The blast radius of misuse is minimal—an attacker could only gain visibility into deployment configuration and status, not modify or delete resources.

From the tool's definition Tool name 'describe_deployment' and description 'Get full description of a deployment including events and conditions' indicate a retrieval operation with no modification or deletion of resources.

Questions about k8s_describe_deployment

What does the k8s_describe_deployment tool do? +

Get full description of a deployment including events and conditions. It is categorised as a Read tool in the Kubernetes MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on k8s_describe_deployment? +

Register the Kubernetes MCP Server MCP server in PolicyLayer and add a rule for k8s_describe_deployment: 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 MCP Server. Nothing to install.

What risk level is k8s_describe_deployment? +

k8s_describe_deployment is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit k8s_describe_deployment? +

Yes. Add a rate_limit block to the k8s_describe_deployment 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_describe_deployment completely? +

Set action: deny in the PolicyLayer policy for k8s_describe_deployment. 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_describe_deployment? +

k8s_describe_deployment is provided by the Kubernetes MCP Server MCP server (mjrestivo16/mcp-kubernetes). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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