get_deployments

List deployments with desired vs ready vs available replicas

Server Kubernetes + Prometheus SRE MCP Server manishmaurya22/sre-mcp-server
Category Read
Risk class Low
Parameters 00 required

What get_deployments does on Kubernetes + Prometheus SRE MCP Server

AI agents call get_deployments to retrieve information from Kubernetes + Prometheus SRE MCP Server 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 deployment status information without side effects. It queries cluster state to display replica counts, which is purely informational. The sibling tools follow a consistent pattern of get_* for read operations (get_pod_logs, get_node_health, etc.), confirming this as a Read operation. No destructive, financial, or execution risk applies.

From the tool's definition Tool name 'get_deployments' uses 'get' verb and description states 'List deployments' with read-only metrics (desired/ready/available replica counts). No modification, deletion, or execution capability indicated.

Questions about get_deployments

What does the get_deployments tool do? +

List deployments with desired vs ready vs available replicas. It is categorised as a Read tool in the Kubernetes + Prometheus SRE MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_deployments? +

Register the Kubernetes + Prometheus SRE MCP Server 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 Kubernetes + Prometheus SRE MCP Server. 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 Kubernetes + Prometheus SRE MCP Server MCP server (manishmaurya22/sre-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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