stop_runtime_session
AI agents invoke stop_runtime_session to trigger actions in AWS IoT SiteWise MCP Server. 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.
Stopping a runtime session is an Execute-category action—it triggers an external operation (session termination) whose effects are immediate and depend on which session is targeted. While not irreversible (sessions can be restarted), it disrupts active operations and could impact industrial IoT monitoring/control systems.
From the tool's definition Tool name 'stop_runtime_session' indicates termination of an active runtime session; AWS IoT SiteWise context suggests this affects operational systems. Empty description limits precision.
Attacks that exploit this kind of access
stop_runtime_session. It is categorised as a Execute tool in the AWS IoT SiteWise MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS IoT SiteWise MCP Server MCP server in PolicyLayer and add a rule for stop_runtime_session: 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 AWS IoT SiteWise MCP Server. Nothing to install.
stop_runtime_session 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 stop_runtime_session 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 stop_runtime_session. 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.
stop_runtime_session is provided by the AWS IoT SiteWise MCP Server MCP server (awslabs.aws-iot-sitewise-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.