patient_everything

THE RISK

Low Risk

Why patient_everything needs a policy

This tool performs a data retrieval operation without creating, modifying, deleting, or executing code. It conforms to the FHIR standard's $patient-everything operation, which is designed to aggregate and return all data associated with a patient record. The blast radius of misuse is limited to potential unauthorized information disclosure of patient records, which is low severity in a properly scoped system.

From the tool's definition The tool description states it 'Retrieve[s] all resources related to a specific patient' using the FHIR $patient-everything operation.

Documented attack patterns abuse exactly the kind of access patient_everything gives an agent:

POLICY

How to control patient_everything

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon ECS MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for patient_everything:

policy.json

{
  "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.

Create a free account and register Amazon ECS MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about patient_everything

What does the patient_everything tool do? +

Retrieve all resources related to a specific patient using the FHIR $patient-everything operation. It is categorised as a Read tool in the Amazon ECS MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on patient_everything? +

Register the Amazon ECS 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 ECS MCP Server. Nothing to install.

What risk level is patient_everything? +

patient_everything is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit patient_everything? +

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.

How do I block patient_everything completely? +

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.

What MCP server provides patient_everything? +

patient_everything is provided by the Amazon ECS MCP Server MCP server (awslabs.ecs-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon ECS MCP Server tool call.

Start from Amazon ECS MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →