AI agents use post_variation to create or update resources in OrigeneMCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your OrigeneMCP environment.
The 'post' prefix strongly suggests a Write operation (creates or modifies data). Given the biomedical context of OrigeneMCP (variation databases like ClinVar), this tool likely submits or registers variation data. Without a description, confidence is moderate. It is classified as Write rather than Execute because 'post' implies data creation, not arbitrary command execution.
From the tool's definition Tool name 'post_variation' uses the 'post' verb, which conventionally indicates data creation or submission. The description is empty, preventing definitive assessment of scope and reversibility.
Documented attack patterns abuse exactly the kind of access post_variation 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 post_variation:
{
"version": "1",
"default": "deny",
"tools": {
"post_variation": {
"limits": [
{
"counter": "post_variation_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}post_variation stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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post_variation. It is categorised as a Write tool in the OrigeneMCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Origene MCP server in PolicyLayer and add a rule for post_variation: 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.
post_variation is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the post_variation 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 post_variation. 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.
post_variation 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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