This record as markdown: /tools/aws/get-patient-studies.md
What get_patient_studies does on AWS
AI agents call get_patient_studies to retrieve information from AWS without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_patient_studies is rated Low
The name structure 'get_*' strongly suggests a read operation that queries and retrieves patient study data without modification. However, confidence is reduced due to lack of descriptive documentation. The low severity reflects typical read operations' minimal blast radius.
From the tool's definition Tool name 'get_patient_studies' indicates data retrieval. Description is empty, limiting direct confirmation of intent.
Attacks that exploit this kind of access
The rule that runs get_patient_studies 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 get_patient_studies, this is the rule to start with:
get_patient_studies is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AWS, apply this rule, and every get_patient_studies call is checked against it from then on.
Questions about get_patient_studies
get_patient_studies is a read tool on the AWS MCP server. It is categorised as a Read tool in the AWS MCP Server, which means it retrieves data without modifying state.
Register the AWS MCP server in PolicyLayer and add a rule for get_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.
get_patient_studies is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_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.
Set action: deny in the PolicyLayer policy for get_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.
get_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.
More on AWS, and thousands of servers like it.
This server
Across the catalogue