AI agents use freeze_baseling to create or update resources in Baselings — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Baselings environment.
Freezing/cryo storage is a reversible state change (the baseling is stored, not destroyed), analogous to archiving or suspending an asset. It modifies the state of the baseling (from active to frozen) but does not irreversibly delete it. However, if frozen assets cannot be used to generate yield, misuse could cause financial opportunity loss.
From the tool's definition Put baseling in cryo storage
Attacks that exploit this kind of access
Put baseling in cryo storage. It is categorised as a Write tool in the Baselings MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Baselings MCP server in PolicyLayer and add a rule for freeze_baseling: 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 Baselings. Nothing to install.
freeze_baseling 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 freeze_baseling 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 freeze_baseling. 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.
freeze_baseling is provided by the Baselings MCP server (jimbo530/baselings-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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