Get detailed information about a specific ontology.
AI agents call get_ontology_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.
This tool retrieves metadata about ontologies from the OLS API without side effects. It performs a simple lookup and returns information, consistent with the 'Read' category for data retrieval operations that pose minimal security risk when misused by an AI agent.
From the tool's definition Tool name and description indicate a retrieval operation: 'Get detailed information about a specific ontology.' No modification, deletion, or execution capabilities are present.
Documented attack patterns abuse exactly the kind of access get_ontology_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_ontology_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_ontology_info": {}
}
}get_ontology_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 detailed information about a specific ontology. 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_ontology_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_ontology_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_ontology_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_ontology_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_ontology_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.