Low Risk

get_user

Get details of a specific user

How to control get_user ↓

AI agents call get_user to retrieve information from Gitlab without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool queries user information without side effects. It retrieves data only and does not create, modify, delete, or execute operations. The blast radius of misuse is minimal: an attacker could enumerate users or gather metadata, but cannot modify systems or access sensitive operations.

From the tool's definition Tool name is 'get_user' and description states 'Get details of a specific user' — a straightforward retrieval operation with no modification or execution.

Documented attack patterns abuse exactly the kind of access get_user gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Gitlab, and nothing reaches the server without passing your rules. This is the rule we recommend for get_user:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_user": {}
  }
}

get_user is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Gitlab — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the get_user tool do? +

Get details of a specific user. It is categorised as a Read tool in the Gitlab MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_user? +

Register the Gitlab 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 Gitlab. Nothing to install.

What risk level is get_user? +

get_user is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_user? +

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.

How do I block get_user completely? +

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.

What MCP server provides get_user? +

get_user is provided by the Gitlab MCP server (yoda-digital/mcp-gitlab-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gitlab tool call.

Deterministic rules across all 88 Gitlab tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

88 Gitlab tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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