Get details of a specific deployment
AI agents call vercel_get_deployment to retrieve information from Vercel without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves information about an existing deployment. It does not create, modify, delete, execute code, or move money. It is a simple query/get operation that returns data without changing state. Low severity because disclosure of deployment details has limited blast radius compared to operations that modify infrastructure or delete data.
From the tool's definition Tool name is 'vercel_get_deployment' and description states 'Get details of a specific deployment' — this is a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access vercel_get_deployment gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Vercel, and nothing reaches the server without passing your rules. This is the rule we recommend for vercel_get_deployment:
{
"version": "1",
"default": "deny",
"tools": {
"vercel_get_deployment": {}
}
}vercel_get_deployment is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get details of a specific deployment. It is categorised as a Read tool in the Vercel MCP Server, which means it retrieves data without modifying state.
Register the Vercel MCP server in PolicyLayer and add a rule for vercel_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 Vercel. Nothing to install.
vercel_get_deployment is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the vercel_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.
Set action: deny in the PolicyLayer policy for vercel_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.
vercel_get_deployment is provided by the Vercel MCP server (xiayeai/vercel-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Vercel, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
13 Vercel tools catalogued and risk-classified — across an index of 43,000+ MCP servers.