AI agents call vercel_get_deployment to retrieve information from UnClick without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
api_key | string | — | |
deploymentId | string | Yes |
Parameters from the server's own tool schema.
The tool retrieves deployment details from Vercel, which is a read-only operation with no side effects. Even if an AI agent misuses this by querying deployments, the blast radius is minimal since no data is modified, deleted, or executed. The severity is low because exposure of deployment metadata is typically non-sensitive or already accessible to authorized users.
From the tool's definition Tool name contains 'get' and description states 'Get details for a specific Vercel deployment' — this is a query operation that retrieves information without modifying, deleting, or executing code.
Risk signalsHandles credentials or secrets (api_key)
Attacks that exploit this kind of access
Get details for a specific Vercel deployment. It is categorised as a Read tool in the UnClick MCP Server, which means it retrieves data without modifying state.
vercel_get_deployment accepts 2 parameters: api_key, deploymentId. Required: deploymentId. The full parameter table on this page comes from the server's own tool schema.
Register the UnClick 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 UnClick. 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 UnClick MCP server (@unclick/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the 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.
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