AI agents call get_user to retrieve information from Edstem without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves information about the authenticated user and their course enrollments. It performs a query operation that returns data without modifying, deleting, or executing any external operations. The data retrieved is specific to the authenticated user's own profile and enrollments, limiting blast radius. This is a standard Read operation with minimal security risk.
From the tool's definition Tool name 'get_user' and description 'Get authenticated user info and enrolled courses' indicate data retrieval with no modification or side effects.
Attacks that exploit this kind of access
Get authenticated user info and enrolled courses. It is categorised as a Read tool in the Edstem MCP Server, which means it retrieves data without modifying state.
Register the Edstem 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 Edstem. 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 Edstem MCP server (rob-9/edstem-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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