k8s.get_deployments

Lists deployments in a namespace with their status and replicas

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

What k8s.get_deployments does on K8s Mcp Assistant

AI agents call k8s.get_deployments 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_deployments needs a policy

This tool retrieves deployment metadata and status information from a Kubernetes cluster. It performs no writes, deletions, code execution, or financial operations. The read-only nature of the server and the query-only semantics of listing deployments confirm this is a safe information retrieval operation with minimal blast radius.

From the tool's definition Tool name 'get_deployments' and description 'Lists deployments in a namespace with their status and replicas' indicate a query operation that retrieves deployment information without modification.

Questions about k8s.get_deployments

What does the k8s.get_deployments tool do? +

Lists deployments in a namespace with their status and replicas. 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_deployments? +

Register the K8s Mcp Assistant MCP server in PolicyLayer and add a rule for k8s.get_deployments: 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_deployments? +

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

Can I rate-limit k8s.get_deployments? +

Yes. Add a rate_limit block to the k8s.get_deployments 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_deployments completely? +

Set action: deny in the PolicyLayer policy for k8s.get_deployments. 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_deployments? +

k8s.get_deployments 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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