Use this tool to retrieve all assignments for a specific Canvas course, with optional filtering by status. This tool returns assignment details including name, description, due date, and submission status. Use this when helping users manage their coursework, check due dates, or find assignment de...
AI agents call get_course_assignments 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 read-only operations against Canvas LMS to fetch assignment information. It retrieves and presents data without side effects, matching the Read category definition. The severity is low because misuse would only expose educational data already accessible to enrolled users, posing minimal risk of harm.
From the tool's definition Tool description states it 'retrieve[s] all assignments' and 'returns assignment details' with no mention of modification, deletion, or execution capabilities.
Attacks that exploit this kind of access
Use this tool to retrieve all assignments for a specific Canvas course, with optional filtering by status. This tool returns assignment details including name, description, due date, and submission status. Use this when helping users manage their coursework, check due dates, or find assignment details. 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_course_assignments: 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_course_assignments 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_assignments 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_assignments. 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_assignments 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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