AI agents call list_departments 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 public academic department information from the university system. It performs no modifications, deletions, or external actions. The blast radius of misuse is minimal—an AI agent could only enumerate departments, which is typically public information at academic institutions. This is a straightforward read operation.
From the tool's definition Tool name 'list_departments' and description 'List all academic departments' indicate a retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access list_departments 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 list_departments:
{
"version": "1",
"default": "deny",
"tools": {
"list_departments": {}
}
}list_departments is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all academic departments. 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 list_departments: 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.
list_departments 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 list_departments 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 list_departments. 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.
list_departments 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.
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53 UAAR University MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.