Get detailed information about a specific assignment including description, due date, points, and submission details.
AI agents call get_assignment 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 queries and retrieves assignment data from Canvas LMS without any side effects. It is a read-only operation that fetches information for display to the user. The blast radius of misuse is minimal—unauthorized read access to assignment details presents a confidentiality concern but no irreversible damage or financial risk.
From the tool's definition Tool name 'get_assignment' and description state it retrieves 'detailed information about a specific assignment including description, due date, points, and submission details.' No mention of modifying, deleting, or executing operations.
Attacks that exploit this kind of access
Get detailed information about a specific assignment including description, due date, points, and submission details. 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_assignment: 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_assignment 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_assignment 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_assignment. 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_assignment 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.
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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