Remove a specific job from your application queue by its ID.
AI agents call remove_from_queue to permanently remove resources in Shortlist MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Removing a job from the application queue is likely irreversible — once removed, the queued application data and its position in the workflow are lost. This aligns with Destructive rather than Write, as there is no indication of an undo mechanism. The blast radius is medium since it affects job application tracking but not financial or system-critical data.
From the tool's definition Remove a specific job from your application queue by its ID
Documented attack patterns abuse exactly the kind of access remove_from_queue gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Shortlist MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for remove_from_queue:
{
"version": "1",
"default": "deny",
"hide": [
"remove_from_queue"
]
} remove_from_queue disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Remove a specific job from your application queue by its ID. It is categorised as a Destructive tool in the Shortlist MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Shortlist MCP Server MCP server in PolicyLayer and add a rule for remove_from_queue: 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 Shortlist MCP Server. Nothing to install.
remove_from_queue 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 remove_from_queue 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 remove_from_queue. 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.
remove_from_queue is provided by the Shortlist MCP Server MCP server (mls-tech-inc/shortlistjobs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Shortlist MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
32 Shortlist MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.