schedule_stop_application
AI agents invoke schedule_stop_application to trigger actions in Awslabs Valkey. 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.
The tool name suggests it schedules or triggers a stop operation on an application, which is an external operational action (Execute category). Stopping an application can have significant impact (high severity) if misused. The empty description reduces confidence, but the name strongly implies an Execute-level action rather than a simple read or write.
From the tool's definition Tool name 'schedule_stop_application' implies triggering an operational action (stopping an application on a schedule). Description is empty, which lowers confidence.
Attacks that exploit this kind of access
schedule_stop_application. It is categorised as a Execute tool in the Awslabs Valkey MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Awslabs Valkey MCP server in PolicyLayer and add a rule for schedule_stop_application: 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.
schedule_stop_application 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 schedule_stop_application 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 schedule_stop_application. 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.
schedule_stop_application 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.