Find terms similar to the given term using LLM embeddings.
AI agents call find_similar_terms to retrieve information from OLS MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a search/retrieval operation against biological and medical ontologies. It takes a term as input and returns similar terms based on embeddings—a read-only operation with no side effects. No data is created, modified, deleted, or financial operations are involved. It aligns with the 'Read' category as it only queries and retrieves information.
From the tool's definition Tool is named 'find_similar_terms' and described as finding 'terms similar to the given term using LLM embeddings.' The description and server context indicate this retrieves or queries data from the Ontology Lookup Service without modifying, deleting, or…
Documented attack patterns abuse exactly the kind of access find_similar_terms gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OLS MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for find_similar_terms:
{
"version": "1",
"default": "deny",
"tools": {
"find_similar_terms": {}
}
}find_similar_terms is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Find terms similar to the given term using LLM embeddings. It is categorised as a Read tool in the OLS MCP Server MCP Server, which means it retrieves data without modifying state.
Register the OLS MCP Server MCP server in PolicyLayer and add a rule for find_similar_terms: 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 OLS MCP Server. Nothing to install.
find_similar_terms 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 find_similar_terms 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 find_similar_terms. 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.
find_similar_terms is provided by the OLS MCP Server MCP server (seandavi/ols-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OLS 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.
7 OLS MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.