snapshot_save
Save the current level state as a named snapshot (JSON serialization).
This record as markdown: /tools/quangdang46-uefn-verse-mcp/snapshot-save.md
What snapshot_save does on Uefn
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.
Why snapshot_save is rated Medium
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)
Attacks that exploit this kind of access
The rule that runs snapshot_save safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Uefn, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For snapshot_save, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect Uefn, apply this rule, and every snapshot_save call is checked against it from then on.
Questions about snapshot_save
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.
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