AI agents call get_current_user to retrieve information from Rize Io 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 current user data without modifying, deleting, or executing external operations. It has no side effects and fits the Read category. Severity is low because accessing user profile/account information poses minimal risk even if misused by an agent.
From the tool's definition Tool name 'get_current_user' indicates a query operation that retrieves user information. Description is empty, but naming convention and sibling tools (get_analytics_report, get_focus_sessions, get_productivity_metrics, get_productivity_summary) all follow a…
Documented attack patterns abuse exactly the kind of access get_current_user gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Rize Io MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_current_user:
{
"version": "1",
"default": "deny",
"tools": {
"get_current_user": {}
}
}get_current_user is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_current_user. It is categorised as a Read tool in the Rize Io MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Rize Io MCP Server MCP server in PolicyLayer and add a rule for get_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 Rize Io MCP Server. Nothing to install.
get_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 get_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 get_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.
get_current_user is provided by the Rize Io MCP Server MCP server (mariomosca/rizeio-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Rize Io MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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8 Rize Io MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.