AI agents call search_target 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.
Without a description, confidence is reduced. However, the naming convention ('search_target') and the exclusively read-only nature of all sibling tools strongly suggest this is a query/search tool for biomedical data with no write, execute, or destructive capabilities. The low severity reflects typical read operations on reference databases.
From the tool's definition Tool name 'search_target' suggests information retrieval. The empty description prevents full certainty, but context from sibling tools (clinvar_find_single_mutation, depmap_get_dependency, depmap_get_expression, check_genome_accessions) all perform read-only…
Documented attack patterns abuse exactly the kind of access search_target 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 search_target:
{
"version": "1",
"default": "deny",
"tools": {
"search_target": {}
}
}search_target is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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search_target. 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 search_target: 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.
search_target 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 search_target 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 search_target. 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.
search_target 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.