active_learning.rollback
Receipt-roll back the current revision and restore its predecessor.
This record as markdown: /tools/visionmcp/active-learning.rollback.md
What active_learning.rollback does on Visionmcp
AI agents call active_learning.rollback to permanently remove resources in Visionmcp, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why active_learning.rollback is rated Critical
Rolling back a revision replaces the current state with a predecessor, effectively destroying the current revision's changes. This is an irreversible operation (the rolled-back revision is lost unless separately versioned), placing it in the Destructive category. The blast radius is high because it can undo potentially significant model training work or configuration changes across the system.
From the tool's definition 'roll back the current revision and restore its predecessor' — this irreversibly discards the current revision state
Attacks that exploit this kind of access
The rule that runs active_learning.rollback safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Visionmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For active_learning.rollback, this is the rule to start with:
active_learning.rollback is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Visionmcp, apply this rule, and every active_learning.rollback call is checked against it from then on.
Questions about active_learning.rollback
Receipt-roll back the current revision and restore its predecessor. It is categorised as a Destructive tool in the Visionmcp MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Vision MCP server in PolicyLayer and add a rule for active_learning.rollback: 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 Visionmcp. Nothing to install.
active_learning.rollback is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the active_learning.rollback 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 active_learning.rollback. 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.
active_learning.rollback is provided by the Vision MCP server (joshuahickscorp/visionmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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