Use this tool to find a specific Gradescope course by name (partial matches supported). This tool returns the course object if found. Use this when you need to get course details or ID when only the name is known.
AI agents call get_gradescope_course_by_name 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 retrieves course information from Gradescope based on a name search. It has no side effects—it only queries and returns data. No data is created, modified, deleted, or executed. This is a straightforward Read operation typical of information retrieval tools.
From the tool's definition Tool description explicitly states it 'returns the course object if found' and is used to 'get course details or ID when only the name is known.' This is a query/lookup operation with no modification, deletion, or execution of code.
Attacks that exploit this kind of access
Use this tool to find a specific Gradescope course by name (partial matches supported). This tool returns the course object if found. Use this when you need to get course details or ID when only the name is known. 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_course_by_name: 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_course_by_name 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_course_by_name 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_course_by_name. 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_course_by_name 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.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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