Get class schedule. Filter by course code or day of week.
AI agents call get_class_schedule to retrieve information from UAAR University 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 existing class schedule data with optional filters (course code, day of week). It has no side effects, does not modify data, execute commands, or affect resources. It is a straightforward read operation on academic schedule information.
From the tool's definition Tool name is 'get_class_schedule' and description states 'Get class schedule' with filtering capabilities. The verb 'Get' and absence of any modification language indicate data retrieval only.
Documented attack patterns abuse exactly the kind of access get_class_schedule gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and UAAR University MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_class_schedule:
{
"version": "1",
"default": "deny",
"tools": {
"get_class_schedule": {}
}
}get_class_schedule is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get class schedule. Filter by course code or day of week. It is categorised as a Read tool in the UAAR University MCP Server MCP Server, which means it retrieves data without modifying state.
Register the UAAR University MCP Server MCP server in PolicyLayer and add a rule for get_class_schedule: 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 UAAR University MCP Server. Nothing to install.
get_class_schedule 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_class_schedule 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_class_schedule. 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_class_schedule is provided by the UAAR University MCP Server MCP server (saramali15792/instituaionmcpserver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from UAAR University 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.
53 UAAR University MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.