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update_patient_study_metadata

A write tool on the AWS MCP server.

SERVERAWS SOURCE@awslabs/mcp
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/aws/update-patient-study-metadata.md

What update_patient_study_metadata does on AWS

AI agents use update_patient_study_metadata to create or update resources in AWS, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AWS environment.

Why update_patient_study_metadata is rated Medium

The verb 'update' and the object 'patient_study_metadata' indicate a reversible write operation that modifies medical data. This is Write rather than Read (retrieves only) or Destructive (permanent deletion). Severity is medium because modifying patient study metadata could affect medical records and downstream processes, but the change is reversible.

From the tool's definition Tool name 'update_patient_study_metadata' indicates modification of data (update); description is empty, limiting certainty.

Questions about update_patient_study_metadata

What does the update_patient_study_metadata tool do? +

update_patient_study_metadata is a write tool on the AWS MCP server. It is categorised as a Write tool in the AWS MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_patient_study_metadata? +

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

update_patient_study_metadata is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_patient_study_metadata? +

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

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

update_patient_study_metadata 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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