Retrieve all resources related to a specific patient using the FHIR $patient-everything operation
AI agents call patient_everything to retrieve information from Amazon Location Service MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries data without creating, modifying, or deleting resources. However, it accesses sensitive healthcare data (all patient records), which elevates severity to medium due to privacy and compliance implications (HIPAA, FHIR data sensitivity). The confidence is not higher because the description lacks detail on access controls and filtering capabilities.
From the tool's definition 'Retrieve all resources related to a specific patient' indicates a query/fetch operation with no side effects. The FHIR $patient-everything operation is a standard read operation that aggregates patient data.
Documented attack patterns abuse exactly the kind of access patient_everything gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Location Service MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for patient_everything:
{
"version": "1",
"default": "deny",
"tools": {
"patient_everything": {}
}
} patient_everything is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve all resources related to a specific patient using the FHIR $patient-everything operation. It is categorised as a Read tool in the Amazon Location Service MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon Location Service MCP Server MCP server in PolicyLayer and add a rule for patient_everything: 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 Location Service MCP Server. Nothing to install.
patient_everything 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 patient_everything 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 patient_everything. 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.
patient_everything is provided by the Amazon Location Service MCP Server MCP server (awslabs.aws-location-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Location Service MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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805 Amazon Location Service MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.