delete_resource

A destructive tool on the AWS MCP server.

SERVERAWS SOURCE@awslabs/mcp
Critical RISK CLASS
Category Destructive
Parameters 00 required
Recommended Hiddensee the rule below
Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/aws/delete-resource.md

What delete_resource does on AWS

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

Why delete_resource is rated Critical

The tool name 'delete_resource' directly implies the ability to irreversibly remove or destroy resources. Given the AWS context and sibling tools (attach_user_policy, attach_group_policy, audit operations), this tool likely manages infrastructure or configuration resources. Deletion of AWS resources cannot be undone without restoration from backups.

From the tool's definition Tool name is 'delete_resource' which explicitly indicates irreversible deletion of data or resources. No description provided, but the name unambiguously suggests a destructive operation.

Questions about delete_resource

What does the delete_resource tool do? +

delete_resource is a destructive tool on the AWS MCP server. It is categorised as a Destructive tool in the AWS 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 delete_resource? +

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

What risk level is delete_resource? +

delete_resource 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 delete_resource? +

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

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

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

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