get_deployment

get_deployment

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

What get_deployment does on Kubernetes MCP Server

AI agents call get_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 get_deployment needs a policy

The 'get_' prefix strongly suggests data retrieval without side effects. The Kubernetes context confirms this is a standard read operation to fetch deployment metadata and status. Even if misconfigured or accessed by unauthorized agents, reading deployment details carries minimal blast radius compared to the create/delete operations available on this server.

From the tool's definition Tool name is 'get_deployment', which follows the 'get_*' pattern typical of retrieval operations. No description provided, but the naming convention and context of sibling Kubernetes tools (which include write/delete operations) indicates this is a…

Questions about get_deployment

What does the get_deployment tool do? +

get_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? +

Register the Kubernetes MCP Server MCP server in PolicyLayer and add a rule for get_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 get_deployment? +

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

Can I rate-limit get_deployment? +

Yes. Add a rate_limit block to the get_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 get_deployment completely? +

Set action: deny in the PolicyLayer policy for get_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 get_deployment? +

get_deployment 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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