AI agents call get_auth_token to retrieve information from Vercel MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves (Read category) metadata about authentication tokens. Although it performs only a read/query operation with no side effects, the high sensitivity of authentication token information justifies high severity. An AI agent with access to auth token metadata could potentially use that information to construct attacks, impersonate users, or escalate privileges.
From the tool's definition Tool name 'get_auth_token' and description 'Retrieve metadata about an authentication token' indicate data retrieval without modification. However, the sensitive nature of authentication tokens elevates the severity.
Documented attack patterns abuse exactly the kind of access get_auth_token gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Vercel MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_auth_token:
{
"version": "1",
"default": "deny",
"tools": {
"get_auth_token": {}
}
}get_auth_token is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Retrieve metadata about an authentication token. It is categorised as a Read tool in the Vercel MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Vercel MCP Server MCP server in PolicyLayer and add a rule for get_auth_token: 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 MCP Server. Nothing to install.
get_auth_token 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 get_auth_token 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 get_auth_token. 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.
get_auth_token is provided by the Vercel MCP Server MCP server (quegenx/vercel-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 154 Vercel MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
154 Vercel MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.