AI agents call detach_user_policy to permanently remove resources in Amazon ECS MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Detaching a policy from a user removes permissions and is typically irreversible in the sense that it can immediately revoke access; it modifies IAM state in a way that can break systems or remove security controls. The name strongly implies an IAM policy detachment action.
From the tool's definition Tool name 'detach_user_policy' on an AWS ECS MCP server; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access detach_user_policy gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon ECS MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for detach_user_policy:
{
"version": "1",
"default": "deny",
"hide": [
"detach_user_policy"
]
} detach_user_policy 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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detach_user_policy. It is categorised as a Destructive tool in the Amazon ECS MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Amazon ECS MCP Server MCP server in PolicyLayer and add a rule for detach_user_policy: 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 Amazon ECS MCP Server. Nothing to install.
detach_user_policy 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 detach_user_policy 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 detach_user_policy. 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.
detach_user_policy is provided by the Amazon ECS MCP Server MCP server (awslabs.ecs-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon ECS MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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805 Amazon ECS MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.