Retrieve required courses information with detailed progress tracking
AI agents call get_required_courses to retrieve information from N Lobby 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 educational course information and progress data without modifying, executing operations on, or deleting any data. It is a straightforward query operation against the school portal database. The blast radius of misuse is minimal—an attacker could enumerate course requirements but cannot alter educational records, execute code, or cause financial harm.
From the tool's definition Tool name 'get_required_courses' and description 'Retrieve required courses information with detailed progress tracking' indicate a data retrieval operation.
Documented attack patterns abuse exactly the kind of access get_required_courses gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and N Lobby MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_required_courses:
{
"version": "1",
"default": "deny",
"tools": {
"get_required_courses": {}
}
}get_required_courses is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve required courses information with detailed progress tracking. It is categorised as a Read tool in the N Lobby MCP Server MCP Server, which means it retrieves data without modifying state.
Register the N Lobby MCP Server MCP server in PolicyLayer and add a rule for get_required_courses: 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 N Lobby MCP Server. Nothing to install.
get_required_courses 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_required_courses 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_required_courses. 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_required_courses is provided by the N Lobby MCP Server MCP server (minagishl/nlobby-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from N Lobby MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
28 N Lobby MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.