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queue_cleanup

Clean up old changes based on retention policy (approved: 30 days, rejected: 7 days, applied: 90 days).

SERVERElementify MCP SOURCEvamerli/elementify-mcp
Critical RISK CLASS
Category Destructive
Parameters 00 required
Recommended Hiddensee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/vamerli-elementify-mcp/queue-cleanup.md

What queue_cleanup does on Elementify MCP

AI agents call queue_cleanup to permanently remove resources in Elementify MCP, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why queue_cleanup is rated Critical

Cleanup operations that purge records based on retention policies are typically irreversible deletions. The tool removes approved, rejected, and applied changes permanently once they exceed their retention period. This cannot be undone once executed, making it Destructive.

From the tool's definition 'Clean up old changes' based on retention policy implies permanent deletion of records older than specified thresholds (30, 7, 90 days)

Questions about queue_cleanup

What does the queue_cleanup tool do? +

Clean up old changes based on retention policy (approved: 30 days, rejected: 7 days, applied: 90 days). It is categorised as a Destructive tool in the Elementify MCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on queue_cleanup? +

Register the Elementify MCP server in PolicyLayer and add a rule for queue_cleanup: 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 Elementify MCP. Nothing to install.

What risk level is queue_cleanup? +

queue_cleanup is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit queue_cleanup? +

Yes. Add a rate_limit block to the queue_cleanup 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.

How do I block queue_cleanup completely? +

Set action: deny in the PolicyLayer policy for queue_cleanup. 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.

What MCP server provides queue_cleanup? +

queue_cleanup is provided by the Elementify MCP server (vamerli/elementify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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