AI agents call current_user to retrieve information from Vaiz MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves user profile data without modifying, executing, or deleting anything. It is a straightforward read-only query operation that returns information about the authenticated user. The low severity reflects that user metadata exposure has limited blast radius compared to tools that could modify or delete data.
From the tool's definition Tool name is 'current_user' and description states 'Get detailed information about current authenticated user' — a pure retrieval operation with no side effects.
Attacks that exploit this kind of access
Get detailed information about current authenticated user. It is categorised as a Read tool in the Vaiz MCP MCP Server, which means it retrieves data without modifying state.
Register the Vaiz MCP server in PolicyLayer and add a rule for current_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 Vaiz MCP. Nothing to install.
current_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 current_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 current_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.
current_user is provided by the Vaiz MCP server (vaizcom/vaiz-mcp). 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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