AI agents call get_user to retrieve information from Eduframe without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves a single user record from the Eduframe API. It performs a read-only query with no ability to modify, delete, or execute code. The blast radius of misuse is minimal — an attacker could access user data they may not be authorized to see, but cannot alter systems or data. Severity is low because it is a simple lookup operation in an educational management context.
From the tool's definition Tool name is 'get_user' and description states 'Get an user record' — a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Get an user record. It is categorised as a Read tool in the Eduframe MCP Server, which means it retrieves data without modifying state.
Register the Eduframe 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 Eduframe. 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 Eduframe MCP server (martijnpieters/eduframe-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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