AI agents call get_term_info 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.
The OLS MCP Server provides access to biological and medical ontologies for lookup and retrieval. The tool name 'get_term_info' combined with the pattern of read-only sibling tools (all search, get, find operations) strongly suggests this retrieves metadata about ontology terms without modification.
From the tool's definition Tool name 'get_term_info' with context of sibling tools (find_similar_terms, get_ontology_info, get_term_ancestors, get_term_children, search_ontologies, search_terms) all indicate read-only operations against ontology data.
Documented attack patterns abuse exactly the kind of access get_term_info 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 get_term_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_term_info": {}
}
}get_term_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_term_info. 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 get_term_info: 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.
get_term_info 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_term_info 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_term_info. 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_term_info 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.
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7 OLS MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.