get_highrisk_cohort
AI agents call get_highrisk_cohort to retrieve information from HomeCare Cohort MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries patient cohort information from a clinical database to support decision-making. While it accesses sensitive healthcare data (high-risk patient identification), the operation is read-only with no side effects.
From the tool's definition Tool name 'get_highrisk_cohort' indicates a retrieval operation that queries data (cohort identification from synthetic patient dataset).
Attacks that exploit this kind of access
get_highrisk_cohort. It is categorised as a Read tool in the HomeCare Cohort MCP MCP Server, which means it retrieves data without modifying state.
Register the HomeCare Cohort MCP server in PolicyLayer and add a rule for get_highrisk_cohort: 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 HomeCare Cohort MCP. Nothing to install.
get_highrisk_cohort 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_highrisk_cohort 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_highrisk_cohort. 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_highrisk_cohort is provided by the HomeCare Cohort MCP server (nasir0md/homecare-cohort-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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