get_user_tool

Get a specific GitLab user by ID.

Server MCP Gitlab mcp-gitlab-crunchtools
Category Read
Risk class Low
Parameters 00 required

What get_user_tool does on MCP Gitlab

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

Why get_user_tool needs a policy

This tool retrieves user information from GitLab by ID. It performs a read-only query operation that does not create, modify, delete, or execute any actions. The blast radius of misuse is minimal—an attacker could enumerate or profile users but cannot alter GitLab state or compromise systems. Confidence is high because the description explicitly uses the word 'Get', a clear indicator of read-only retrieval.

From the tool's definition Tool name 'get_user_tool' and description 'Get a specific GitLab user by ID' indicate a retrieval operation with no side effects.

Questions about get_user_tool

What does the get_user_tool tool do? +

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

How do I enforce a policy on get_user_tool? +

Register the MCP Gitlab MCP server in PolicyLayer and add a rule for get_user_tool: 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 MCP Gitlab. Nothing to install.

What risk level is get_user_tool? +

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

Can I rate-limit get_user_tool? +

Yes. Add a rate_limit block to the get_user_tool 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_tool completely? +

Set action: deny in the PolicyLayer policy for get_user_tool. 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_tool? +

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

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