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delete_patient_studies

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-patient-studies.md

What delete_patient_studies does on AWS

AI agents call delete_patient_studies 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_patient_studies is rated Critical

The tool name unambiguously indicates permanent deletion of patient medical study records. This is irreversible data destruction in a healthcare context involving sensitive PHI (Protected Health Information). Even though the description is empty, the name alone is sufficiently clear to classify as Destructive.

From the tool's definition Tool name is 'delete_patient_studies' which explicitly performs deletion of patient medical records, a healthcare data asset.

Questions about delete_patient_studies

What does the delete_patient_studies tool do? +

delete_patient_studies 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_patient_studies? +

Register the AWS MCP server in PolicyLayer and add a rule for delete_patient_studies: 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_patient_studies? +

delete_patient_studies 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_patient_studies? +

Yes. Add a rate_limit block to the delete_patient_studies 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_patient_studies completely? +

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

delete_patient_studies 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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