AI agents call get_assay_summary_by_cid 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.
The tool name strongly implies data retrieval (get) of pre-computed summaries (assay_summary) without modification or deletion. The biomedical context (OrigeneMCP server for therapeutic research) and sibling tools (all query/retrieve operations) support classification as a Read operation.
From the tool's definition Tool name 'get_assay_summary_by_cid' suggests retrieval of assay summary data indexed by compound ID (CID). The 'get' verb and 'summary' noun indicate a read-only query operation. No description provided to confirm.
Documented attack patterns abuse exactly the kind of access get_assay_summary_by_cid 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_assay_summary_by_cid:
{
"version": "1",
"default": "deny",
"tools": {
"get_assay_summary_by_cid": {}
}
}get_assay_summary_by_cid is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_assay_summary_by_cid. 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_assay_summary_by_cid: 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_assay_summary_by_cid 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_assay_summary_by_cid 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_assay_summary_by_cid. 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_assay_summary_by_cid 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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