Save the current level state as a named snapshot (JSON serialization).
AI agents use snapshot_save to create or update resources in Uefn — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Uefn environment.
This tool creates a new named snapshot by serializing the current level state to JSON. It is a write/create operation — it persists data — but it does not delete or overwrite existing data irreversibly, making it Write rather than Destructive. Misuse could clutter the project with unwanted snapshots but has limited blast radius.
From the tool's definition Save the current level state as a named snapshot (JSON serialization)
Documented attack patterns abuse exactly the kind of access snapshot_save gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Uefn, and nothing reaches the server without passing your rules. This is the rule we recommend for snapshot_save:
{
"version": "1",
"default": "deny",
"tools": {
"snapshot_save": {
"limits": [
{
"counter": "snapshot_save_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}snapshot_save 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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Save the current level state as a named snapshot (JSON serialization). It is categorised as a Write tool in the Uefn MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Uefn MCP server in PolicyLayer and add a rule for snapshot_save: 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 Uefn. Nothing to install.
snapshot_save 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 snapshot_save 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 snapshot_save. 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.
snapshot_save is provided by the Uefn MCP server (quangdang46/uefn-verse-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Uefn, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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143 Uefn tools catalogued and risk-classified — across an index of 43,000+ MCP servers.