Use this tool to retrieve all available Gradescope courses for the current user. This tool returns a dictionary of courses organized by user role. Use this when helping users access or manage their Gradescope course information.
AI agents call get_gradescope_courses to retrieve information from Canvas MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a straightforward query operation that fetches course data without modifying, deleting, or executing any actions. It is informational in nature and allows users to list available courses. The blast radius of misuse is minimal—an agent could at most retrieve course information the user already has access to, which causes no harm.
From the tool's definition Tool description states it 'retrieve[s] all available Gradescope courses' and 'returns a dictionary of courses'. The verb 'retrieve' and the read-only nature of querying course information indicates no data modification or side effects.
Attacks that exploit this kind of access
Use this tool to retrieve all available Gradescope courses for the current user. This tool returns a dictionary of courses organized by user role. Use this when helping users access or manage their Gradescope course information. It is categorised as a Read tool in the Canvas MCP MCP Server, which means it retrieves data without modifying state.
Register the Canvas MCP server in PolicyLayer and add a rule for get_gradescope_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 Canvas MCP. Nothing to install.
get_gradescope_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 get_gradescope_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 get_gradescope_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.
get_gradescope_courses is provided by the Canvas MCP server (noahjohannessen/canvas-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.
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