Retrieve similar entities for a given target using a model trained with PubMed.
AI agents call get_similar_entities_by_target_name 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.
This tool queries a machine learning model to find related biomedical entities based on a target name. It performs information retrieval from existing data without creating, modifying, deleting, or executing external operations. The operation is read-only and has no destructive or financial implications.
From the tool's definition Tool name 'get_similar_entities_by_target_name' combined with description 'Retrieve similar entities for a given target using a model trained with PubMed' indicates a data retrieval operation.
Documented attack patterns abuse exactly the kind of access get_similar_entities_by_target_name 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 get_similar_entities_by_target_name:
{
"version": "1",
"default": "deny",
"tools": {
"get_similar_entities_by_target_name": {}
}
}get_similar_entities_by_target_name is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve similar entities for a given target using a model trained with PubMed. 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 get_similar_entities_by_target_name: 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.
get_similar_entities_by_target_name 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_similar_entities_by_target_name 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_similar_entities_by_target_name. 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_similar_entities_by_target_name 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.
Free to start. No card required.
439 OrigeneMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.