get_deployment_rollout_status

Get the rollout status of a deployment

Server Kubernetes MCP Server surukanti/k8s-mcp-server
Category Read
Risk class Low
Parameters 00 required

What get_deployment_rollout_status does on Kubernetes MCP Server

AI agents call get_deployment_rollout_status 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 get_deployment_rollout_status needs a policy

This tool retrieves deployment rollout status information, which is a non-destructive read operation with no side effects. It does not create, modify, delete, or execute any operations on Kubernetes resources. The blast radius of misuse is minimal, as an AI agent can only view information, not alter infrastructure state.

From the tool's definition Tool name is 'get_deployment_rollout_status' and description states 'Get the rollout status of a deployment' — both indicate a read-only query operation that retrieves status information without modifying or affecting Kubernetes resources.

Questions about get_deployment_rollout_status

What does the get_deployment_rollout_status tool do? +

Get the rollout status of a deployment. 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 get_deployment_rollout_status? +

Register the Kubernetes MCP Server MCP server in PolicyLayer and add a rule for get_deployment_rollout_status: 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 get_deployment_rollout_status? +

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

Can I rate-limit get_deployment_rollout_status? +

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

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

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

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