Fetch the official syllabus and return its full text.
AI agents call get_course_outline to retrieve information from Waterloo Learn without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns course outline/syllabus content, which is a read-only operation. There is no data modification, code execution, destructive action, or financial transaction involved. The severity is low because course syllabuses are typically public or semi-public educational materials with minimal sensitive information, and retrieving them poses minimal risk of harm if misused by an AI agent.
From the tool's definition Tool name 'get_course_outline' and description 'Fetch the official syllabus and return its full text' indicate retrieval of existing course documentation with no modification, deletion, or side effects.
Attacks that exploit this kind of access
Fetch the official syllabus and return its full text. It is categorised as a Read tool in the Waterloo Learn MCP Server, which means it retrieves data without modifying state.
Register the Waterloo Learn MCP server in PolicyLayer and add a rule for get_course_outline: 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 Waterloo Learn. Nothing to install.
get_course_outline 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_course_outline 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_course_outline. 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_course_outline is provided by the Waterloo Learn MCP server (petersenmatthew/waterloo-learn-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.
Teams ship this data inside their own products. See what a licence covers →