describe_resource

describe_resource

Server K8s jingyanjiang/k8s-mcp
Category Read
Risk class Low
Parameters 00 required

What describe_resource does on K8s

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

Why describe_resource needs a policy

The tool appears to retrieve and display metadata or status information about Kubernetes resources without modifying them. While the description is empty, the naming pattern and context of sibling tools (get_*, diagnose_*) strongly suggest this is a read-only inspection tool. The blast radius of misuse is low—an agent could gather unwanted information but cannot cause damage or operational changes.

From the tool's definition Tool name 'describe_resource' indicates a query/inspection operation typical of Kubernetes read-only commands (e.g., kubectl describe).

Questions about describe_resource

What does the describe_resource tool do? +

describe_resource. It is categorised as a Read tool in the K8s MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on describe_resource? +

Register the K8s MCP server in PolicyLayer and add a rule for describe_resource: 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. Nothing to install.

What risk level is describe_resource? +

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

Can I rate-limit describe_resource? +

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

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

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

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