AI agents call get_teacher_roles 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 read-only data about teacher roles from the Eduframe API. It has no side effects, does not create, modify, or delete data, and does not execute code or trigger external operations. The minimal blast radius of exposing role enumeration data justifies a low severity rating.
From the tool's definition Tool name contains 'get' and description states 'Get all teacher roles' — a retrieval operation with no modification, deletion, or execution of external processes.
Attacks that exploit this kind of access
Get all teacher roles. 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_teacher_roles: 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_teacher_roles 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_teacher_roles 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_teacher_roles. 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_teacher_roles 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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