search_by_patient_id
AI agents call search_by_patient_id to retrieve information from Awslabs Valkey without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name 'search_by_patient_id' and the pattern of sibling tools (many containing 'add_', 'aggregate', 'analyze_') suggest this is a read operation that queries data by patient identifier. Despite the empty description lowering confidence slightly, the clear naming semantics (search/query verb) and the absence of any write, delete, or financial keywords place this firmly in the Read category with low severity.
From the tool's definition Tool name 'search_by_patient_id' indicates a query/lookup operation that retrieves patient records. No description provided, but the naming pattern clearly suggests data retrieval rather than modification or deletion.
Attacks that exploit this kind of access
search_by_patient_id. It is categorised as a Read tool in the Awslabs Valkey MCP Server, which means it retrieves data without modifying state.
Register the Awslabs Valkey MCP server in PolicyLayer and add a rule for search_by_patient_id: 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 Awslabs Valkey. Nothing to install.
search_by_patient_id 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 search_by_patient_id 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 search_by_patient_id. 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.
search_by_patient_id is provided by the Awslabs Valkey MCP server (awslabs.valkey-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.