AI agents call get_studies 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.
Based on naming convention and server context (biomedical database platform), this tool likely retrieves study data without modification. However, confidence is moderate because the description is empty and uninformative—the actual scope and data sensitivity are unclear. Could potentially return sensitive genomic or clinical study information, warranting medium severity if misused for unauthorized data access.
From the tool's definition Tool name 'get_studies' with empty description suggests data retrieval operation (get = fetch/read pattern), consistent with sibling tools that query biomedical databases (clinvar_*, depmap_*). The 'get_' prefix conventionally indicates read-only retrieval.
Documented attack patterns abuse exactly the kind of access get_studies 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_studies:
{
"version": "1",
"default": "deny",
"tools": {
"get_studies": {}
}
}get_studies is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_studies. 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_studies: 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_studies 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_studies 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_studies. 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_studies 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.