Delete a work experience from LAPRAS(https://lapras.com). You can check the result at https://lapras.com/cv
AI agents call delete_experience to permanently remove resources in Lapras — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
| Parameter | Type | Required | Description |
|---|---|---|---|
experience_id | number | Yes | ID of the experience to delete |
Parameters from the server's own tool schema.
This tool permanently removes a user's work experience record from their LAPRAS profile. Deletion is inherently irreversible and cannot be undone by the tool itself. An AI agent with access to this could maliciously or erroneously remove important professional history from a user's CV/profile, causing data loss.
From the tool's definition Tool name is 'delete_experience' and description states 'Delete a work experience from LAPRAS'. The verb 'Delete' indicates irreversible removal of data.
Attacks that exploit this kind of access
Delete a work experience from LAPRAS(https://lapras.com). You can check the result at https://lapras.com/cv. It is categorised as a Destructive tool in the Lapras MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
delete_experience accepts 1 parameter: experience_id. Required: experience_id. The full parameter table on this page comes from the server's own tool schema.
Register the Lapras MCP server in PolicyLayer and add a rule for delete_experience: 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 Lapras. Nothing to install.
delete_experience 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_experience 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_experience. 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_experience is provided by the Lapras MCP server (@lapras-inc/lapras-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.
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