AI agents call list_public_hubs to retrieve information from OrigeneMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name indicates a query/retrieval operation that returns a list of public hubs, which is consistent with Read category operations. No side effects, writes, destructive actions, code execution, or financial implications are suggested by the name. However, confidence is moderate (0.6) because the description is empty, leaving some ambiguity about the exact scope and nature of what is returned.
From the tool's definition Tool name 'list_public_hubs' suggests retrieving or enumerating a list of public resources. The verb 'list' is a read-only operation with no modification or deletion capability.
Documented attack patterns abuse exactly the kind of access list_public_hubs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OrigeneMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for list_public_hubs:
{
"version": "1",
"default": "deny",
"tools": {
"list_public_hubs": {}
}
}list_public_hubs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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list_public_hubs. It is categorised as a Read tool in the OrigeneMCP MCP Server, which means it retrieves data without modifying state.
Register the Origene MCP server in PolicyLayer and add a rule for list_public_hubs: 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 OrigeneMCP. Nothing to install.
list_public_hubs 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_public_hubs 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_public_hubs. 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_public_hubs is provided by the Origene MCP server (gentel-lab/origenemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OrigeneMCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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439 OrigeneMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.