Start a FHIR import job to load data into HealthLake
AI agents invoke start_fhir_import_job to trigger actions in Prometheus MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool initiates an asynchronous data import job in AWS HealthLake. It executes an external operation (a job) that writes FHIR data into a managed datastore. The primary risk category is Execute because it triggers an external process whose effects depend on the input arguments (what data is imported).
From the tool's definition 'Start a FHIR import job to load data into HealthLake' — triggers an external import operation that loads data into AWS HealthLake
Documented attack patterns abuse exactly the kind of access start_fhir_import_job gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Prometheus MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for start_fhir_import_job:
{
"version": "1",
"default": "deny",
"tools": {
"start_fhir_import_job": {
"limits": [
{
"counter": "start_fhir_import_job_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} start_fhir_import_job stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Start a FHIR import job to load data into HealthLake. It is categorised as a Execute tool in the Prometheus MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Prometheus MCP Server MCP server in PolicyLayer and add a rule for start_fhir_import_job: 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 Prometheus MCP Server. Nothing to install.
start_fhir_import_job is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the start_fhir_import_job 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 start_fhir_import_job. 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.
start_fhir_import_job is provided by the Prometheus MCP Server MCP server (awslabs.prometheus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Prometheus MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
805 Prometheus MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.