Delete an unofficial mirror by its ID. This action is irreversible. Use cases: - Remove duplicate or outdated unofficial mirrors - Clean up test data - Remove mirrors that were incorrectly created
AI agents call delete_unofficial_mirror to permanently remove resources in Langfuse Observability — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool permanently removes data (unofficial mirrors) without the ability to undo the operation. Although the blast radius is somewhat limited to mirror management rather than core application data, the irreversible deletion of records makes this a Destructive action. Severity is high rather than critical because the impact is scoped to mirror management rather than financial, identity, or core system data.
From the tool's definition Tool description explicitly states 'Delete an unofficial mirror by its ID. This action is irreversible.' The irreversible nature and use of 'Delete' clearly indicate destructive capability.
Attacks that exploit this kind of access
Delete an unofficial mirror by its ID. This action is irreversible. Use cases: - Remove duplicate or outdated unofficial mirrors - Clean up test data - Remove mirrors that were incorrectly created. It is categorised as a Destructive tool in the Langfuse Observability MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Langfuse Observability MCP server in PolicyLayer and add a rule for delete_unofficial_mirror: 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 Langfuse Observability. Nothing to install.
delete_unofficial_mirror 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 delete_unofficial_mirror 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 delete_unofficial_mirror. 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.
delete_unofficial_mirror is provided by the Langfuse Observability MCP server (langfuse-observability-mcp-server). 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.
Teams ship this data inside their own products. See what a licence covers →