This record as markdown: /tools/quangdang46-uefn-verse-mcp/tag-remove.md
What tag_remove does on Uefn
AI agents call tag_remove to permanently remove resources in Uefn, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why tag_remove is rated Critical
The name 'tag_remove' strongly implies removing/deleting a tag from an actor or asset, which is a destructive (irreversible deletion) operation. However, the empty description lowers confidence significantly. In context of a UEFN editor bridge, tag removal is likely a metadata modification that could be reversible (Write), but 'remove' semantics lean Destructive.
From the tool's definition Tool name 'tag_remove' — description is empty and uninformative
Attacks that exploit this kind of access
The rule that runs tag_remove 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 tag_remove, this is the rule to start with:
tag_remove 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 Uefn, apply this rule, and every tag_remove call is checked against it from then on.
Questions about tag_remove
tag_remove is a destructive tool on the Uefn MCP server. It is categorised as a Destructive tool in the Uefn MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Uefn MCP server in PolicyLayer and add a rule for tag_remove: 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.
tag_remove 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 tag_remove 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 tag_remove. 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.
tag_remove 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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