Search for FHIR resources in HealthLake datastore with advanced search capabilities. Returns up to 100 results per call. If pagination.has_next is true, call this tool again with the next_token to get more results.
AI agents call search_fhir_resources to retrieve information from Amazon SageMaker AI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries a HealthLake datastore to retrieve FHIR (Fast Healthcare Interoperability Resources) records. It has no side effects—it only reads and returns data with pagination support. While FHIR data may be sensitive (health information), the tool itself performs only read operations.
From the tool's definition Tool description states 'Search for FHIR resources' and 'Returns up to 100 results per call' with pagination support. The verb 'search' and 'returns results' indicate data retrieval with no modification or deletion.
Attacks that exploit this kind of access
Search for FHIR resources in HealthLake datastore with advanced search capabilities. Returns up to 100 results per call. If pagination.has_next is true, call this tool again with the next_token to get more results. It is categorised as a Read tool in the Amazon SageMaker AI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for search_fhir_resources: 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 Amazon SageMaker AI MCP Server. Nothing to install.
search_fhir_resources 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_fhir_resources 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_fhir_resources. 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_fhir_resources is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.