Get patient's observations
AI agents call get_patient_observations to retrieve information from FHIR Careplan without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves patient clinical observation data (vital signs, lab results, measurements, etc.) from a FHIR server. It performs a query operation with no side effects or data modification.
From the tool's definition Tool name 'get_patient_observations' and description 'Get patient's observations' indicate data retrieval with no modification capability. The verb 'Get' is a standard Read operation pattern.
Attacks that exploit this kind of access
Get patient's observations. It is categorised as a Read tool in the FHIR Careplan MCP Server, which means it retrieves data without modifying state.
Register the FHIR Careplan MCP server in PolicyLayer and add a rule for get_patient_observations: 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 FHIR Careplan. Nothing to install.
get_patient_observations 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 get_patient_observations 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 get_patient_observations. 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.
get_patient_observations is provided by the FHIR Careplan MCP server (kushagra-dutta/fhir-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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