Get one accepted user by id and return their profile, role, and timestamps. Use list_all_users to find the id if you only have a name or email, and get_user_invite for pending invitations. Enterprise-gated. Returns 403 on non-Enterprise Portkey plans.
AI agents call get_user to retrieve information from Portkey Admin without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
user_id | string | Yes | The user ID to retrieve |
Parameters from the server's own tool schema.
Even though get_user only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Get one accepted user by id and return their profile, role, and timestamps. Use list_all_users to find the id if you only have a name or email, and get_user_invite for pending invitations. Enterprise-gated. Returns 403 on non-Enterprise Portkey plans. It is categorised as a Read tool in the Portkey Admin MCP Server, which means it retrieves data without modifying state.
get_user accepts 1 parameter: user_id. Required: user_id. The full parameter table on this page comes from the server's own tool schema.
Register the Portkey Admin MCP server in PolicyLayer and add a rule for get_user: 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 Portkey Admin. Nothing to install.
get_user 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_user 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_user. 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_user is provided by the Portkey Admin MCP server (CodesWhat/portkey-admin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.