Mark patient discharge status as ready.
AI agents use mark_patient_ready_for_discharge to create or update resources in MCPDischarge — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCPDischarge environment.
This tool creates or modifies patient data (discharge status) reversibly within an EHR system. While not destructive (the change can be undone), it affects critical clinical workflows and PHI. In a hospital discharge coordination context, incorrectly marking a patient as ready could lead to premature discharge, medication errors, or billing complications.
From the tool's definition Tool name 'mark_patient_ready_for_discharge' indicates it modifies patient discharge status; description states 'Mark patient discharge status as ready' — a state change operation.
Attacks that exploit this kind of access
Mark patient discharge status as ready. It is categorised as a Write tool in the MCPDischarge MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCPDischarge MCP server in PolicyLayer and add a rule for mark_patient_ready_for_discharge: 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 MCPDischarge. Nothing to install.
mark_patient_ready_for_discharge is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the mark_patient_ready_for_discharge 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 mark_patient_ready_for_discharge. 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.
mark_patient_ready_for_discharge is provided by the MCPDischarge MCP server (prashantsingh1234/mcp_project). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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