AI agents call get_library_hours 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 static information about library operating hours. It does not create, modify, delete, or execute any operations—it simply queries and returns data. It has no blast radius if misused by an AI agent, as the worst outcome is displaying incorrect or misleading hours. This clearly falls under the Read category with low severity.
From the tool's definition Tool name 'get_library_hours' and description 'Get library operating hours' indicate a retrieval operation with no modification or side effects. This is a simple query for publicly available information.
Documented attack patterns abuse exactly the kind of access get_library_hours 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_library_hours:
{
"version": "1",
"default": "deny",
"tools": {
"get_library_hours": {}
}
}get_library_hours is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get library operating hours. 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_library_hours: 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_library_hours 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_library_hours 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_library_hours. 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_library_hours 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.