This record as markdown: /tools/aws/search-by-study-uid.md
What search_by_study_uid does on AWS
AI agents call search_by_study_uid 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 search_by_study_uid is rated Low
The tool performs a query/lookup by study identifier. Despite empty description, the name strongly indicates a retrieval operation with no mutation. Classified as Read with medium-high confidence given the lack of descriptive details. Severity is low because search operations typically have minimal blast radius.
From the tool's definition Tool name 'search_by_study_uid' contains 'search', which is a classic Read operation pattern. No description provided to suggest side effects.
Attacks that exploit this kind of access
The rule that runs search_by_study_uid 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 search_by_study_uid, this is the rule to start with:
search_by_study_uid 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 search_by_study_uid call is checked against it from then on.
Questions about search_by_study_uid
search_by_study_uid 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 search_by_study_uid: 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.
search_by_study_uid 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 search_by_study_uid 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 search_by_study_uid. 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.
search_by_study_uid 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