Get upcoming assignments and deadlines for the next 30 days across all courses. Returns assignments with due dates, to-do items, and calendar events.
AI agents call get_upcoming_assignments to retrieve information from Canvas MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries assignment data from Canvas LMS without creating, modifying, deleting, or executing any operations. It is a straightforward read operation that fetches information about upcoming assignments and deadlines for display to the user. The blast radius of misuse is minimal—an agent could only retrieve scheduling information already accessible to the authenticated user.
From the tool's definition Tool description states 'Get upcoming assignments and deadlines' and 'Returns assignments' — pure data retrieval with no modification, deletion, or execution of external operations. No side effects are mentioned or implied.
Attacks that exploit this kind of access
Get upcoming assignments and deadlines for the next 30 days across all courses. Returns assignments with due dates, to-do items, and calendar events. It is categorised as a Read tool in the Canvas MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Canvas MCP Server MCP server in PolicyLayer and add a rule for get_upcoming_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 Server. Nothing to install.
get_upcoming_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_upcoming_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_upcoming_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_upcoming_assignments is provided by the Canvas MCP Server MCP server (taciturnaxolotl/canvas-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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