Delete alias / note / scale keys from a user-level library metadata manifest. Requires the current revision and returns the updated manifest with revision + 1.
AI agents call user_library_metadata_delete to permanently remove resources in Whiteboard — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool irreversibly removes data (metadata keys) from a user's library manifest. While scoped to a single user's library rather than affecting production systems or having financial impact, the destructive nature of permanent deletion without undo capability places it in the Destructive category.
From the tool's definition Tool name contains 'delete' and description explicitly states 'Delete alias / note / scale keys from a user-level library metadata manifest.' The action is irreversible—deleted metadata cannot be recovered without external backup.
Attacks that exploit this kind of access
Delete alias / note / scale keys from a user-level library metadata manifest. Requires the current revision and returns the updated manifest with revision + 1. It is categorised as a Destructive tool in the Whiteboard MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Whiteboard MCP server in PolicyLayer and add a rule for user_library_metadata_delete: 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 Whiteboard. Nothing to install.
user_library_metadata_delete 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 user_library_metadata_delete 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 user_library_metadata_delete. 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.
user_library_metadata_delete is provided by the Whiteboard MCP server (kamiazya/whiteboard). 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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