Canvas LMS 과제 제출 현황을 조회합니다.
AI agents call kupid_lms_submissions to retrieve information from Ku Portal without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves Canvas LMS submission status for assignments. It queries existing data about student submissions without modifying, executing code, deleting, or moving money. The blast radius of misuse is minimal—an AI agent could only retrieve submission information already visible to the authenticated user. This is a straightforward Read operation consistent with other portal query tools on the same server.
From the tool's definition Tool name 'kupid_lms_submissions' and description '조회합니다' (queries/retrieves) indicate data retrieval. The Korean verb 조회 means 'to query' or 'to look up', not modify or delete.
Documented attack patterns abuse exactly the kind of access kupid_lms_submissions gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Ku Portal, and nothing reaches the server without passing your rules. This is the rule we recommend for kupid_lms_submissions:
{
"version": "1",
"default": "deny",
"tools": {
"kupid_lms_submissions": {}
}
}kupid_lms_submissions is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Canvas LMS 과제 제출 현황을 조회합니다. It is categorised as a Read tool in the Ku Portal MCP Server, which means it retrieves data without modifying state.
Register the Ku Portal MCP server in PolicyLayer and add a rule for kupid_lms_submissions: 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 Ku Portal. Nothing to install.
kupid_lms_submissions 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 kupid_lms_submissions 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 kupid_lms_submissions. 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.
kupid_lms_submissions is provided by the Ku Portal MCP server (sonaiengine/ku-portal-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Ku Portal, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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31 Ku Portal tools catalogued and risk-classified — across an index of 43,000+ MCP servers.