Retrieve genetic constraint information for a specific target, including expected and observed values, and scores.
AI agents call get_target_constraint_info_by_name 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.
This is a straightforward query tool that fetches pre-computed constraint metrics about genetic targets. It has no side effects, cannot modify data, and poses minimal risk if misused by an AI agent—it can only return existing biomedical reference data. The low severity reflects that constraint information is non-sensitive reference data used in research contexts.
From the tool's definition Tool retrieves 'genetic constraint information for a specific target, including expected and observed values, and scores' - pure data retrieval with no modification, deletion, or execution.
Documented attack patterns abuse exactly the kind of access get_target_constraint_info_by_name 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_target_constraint_info_by_name:
{
"version": "1",
"default": "deny",
"tools": {
"get_target_constraint_info_by_name": {}
}
}get_target_constraint_info_by_name is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Retrieve genetic constraint information for a specific target, including expected and observed values, and scores. 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_target_constraint_info_by_name: 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_target_constraint_info_by_name 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_target_constraint_info_by_name 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_target_constraint_info_by_name. 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_target_constraint_info_by_name 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.
Free to start. No card required.
439 OrigeneMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.