List all Gradescope courses for the authenticated user.
AI agents call tool_list_courses to retrieve information from Gradescope MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns course information without creating, modifying, deleting, executing code, or moving money. It is a straightforward read operation that retrieves existing data. Severity is low because listing courses reveals only metadata about courses accessible to the authenticated user, with minimal risk of harm if misused by an AI agent.
From the tool's definition Tool name 'tool_list_courses' and description 'List all Gradescope courses for the authenticated user' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access tool_list_courses gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Gradescope MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for tool_list_courses:
{
"version": "1",
"default": "deny",
"tools": {
"tool_list_courses": {}
}
}tool_list_courses is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
List all Gradescope courses for the authenticated user. It is categorised as a Read tool in the Gradescope MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Gradescope MCP Server MCP server in PolicyLayer and add a rule for tool_list_courses: 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 Gradescope MCP Server. Nothing to install.
tool_list_courses 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 tool_list_courses 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 tool_list_courses. 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.
tool_list_courses is provided by the Gradescope MCP Server MCP server (yuanpeng-li/gradescope-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Gradescope MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
37 Gradescope MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.