Obtiene las tareas de una materia con su fecha límite. Requiere course_id.
AI agents call 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 assignment data and deadlines from Canvas LMS for a specified course. It is a read-only query operation that returns academic information without modifying any data or triggering external operations. The blast radius of misuse is minimal—an attacker could only see assignment information they likely already have access to through Canvas itself.
From the tool's definition Tool description states 'Obtiene las tareas' (Gets/retrieves assignments) with deadline information. The verb 'obtiene' (retrieves) indicates data retrieval with no side effects. No creation, modification, deletion, or execution of code is mentioned.
Attacks that exploit this kind of access
Obtiene las tareas de una materia con su fecha límite. Requiere course_id. 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 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.
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 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 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.
assignments is provided by the Canvas MCP Server MCP server (the-greenpanter/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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