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remove_work_item_from_launch

Take a card off a launch. The card itself is untouched — it stays on its board in its column. Use this when a card was added in error or the launch no longer needs it; to say a card is DONE, move it on its board instead and the launch

SERVERAdrata SOURCE@adrata/adrata-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/adrata-adrata-mcp/remove-work-item-from-launch.md

What remove_work_item_from_launch does on Adrata

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

Why remove_work_item_from_launch is rated Critical

An AI agent that decides to call remove_work_item_from_launch doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Adrata is gone. There is no undo for destructive operations.

Questions about remove_work_item_from_launch

What does the remove_work_item_from_launch tool do? +

Take a card off a launch. The card itself is untouched — it stays on its board in its column. Use this when a card was added in error or the launch no longer needs it; to say a card is DONE, move it on its board instead and the launch. It is categorised as a Destructive tool in the Adrata 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 remove_work_item_from_launch? +

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

What risk level is remove_work_item_from_launch? +

remove_work_item_from_launch 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 remove_work_item_from_launch? +

Yes. Add a rate_limit block to the remove_work_item_from_launch 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 remove_work_item_from_launch completely? +

Set action: deny in the PolicyLayer policy for remove_work_item_from_launch. 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 remove_work_item_from_launch? +

remove_work_item_from_launch is provided by the Adrata MCP server (@adrata/adrata-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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