get_deployments

Get deployments in a namespace

Server kube-MCP siddjoshi/kube-mcp
Category Read
Risk class Low
Parameters 00 required

What get_deployments does on kube-MCP

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

Why get_deployments needs a policy

This tool retrieves and queries Kubernetes deployment information without creating, modifying, or deleting any resources. It is a standard kubectl-like read operation (equivalent to 'kubectl get deployments'). The blast radius is minimal since reading deployment metadata poses no operational risk to the cluster.

From the tool's definition Tool name is 'get_deployments' and description is 'Get deployments in a namespace'. The verb 'Get' and the read-only nature of querying deployment information indicates data retrieval with no side effects.

Questions about get_deployments

What does the get_deployments tool do? +

Get deployments in a namespace. It is categorised as a Read tool in the kube-MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_deployments? +

Register the kube- MCP server in PolicyLayer and add a rule for 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 kube-MCP. Nothing to install.

What risk level is get_deployments? +

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

Can I rate-limit get_deployments? +

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

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

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

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.