delete_study

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-study.md

WHAT IT DOES

What delete_study does on AWS

AI agents call delete_study 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.

RISK

Why delete_study is rated Critical

The tool name explicitly indicates deletion ('delete_study'). Deletion is an irreversible operation that cannot be undone. While confidence is slightly reduced due to lack of a description confirming the scope and nature of the study resource being deleted, the verb 'delete' itself is unambiguous enough to classify this as Destructive.

From the tool's definition Tool name is 'delete_study' which contains the verb 'delete' indicating irreversible data removal. No description provided, but the semantic meaning of 'delete' combined with AWS context suggests permanent deletion of a study resource.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs delete_study safely

PolicyLayer is an MCP gateway: it sits between your AI agents and AWS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For delete_study, this is the rule to start with:

delete_study Hidden

delete_study is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "delete_study"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AWS, apply this rule, and every delete_study call is checked against it from then on.

FAQ

Questions about delete_study

What does the delete_study tool do? +

delete_study 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_study? +

Register the AWS MCP server in PolicyLayer and add a rule for delete_study: 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_study? +

delete_study 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_study? +

Yes. Add a rate_limit block to the delete_study 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_study completely? +

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

delete_study 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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