sam_deploy
AI agents invoke sam_deploy 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.
SAM deployments are Execute operations because they trigger automated infrastructure provisioning workflows whose effects depend on deployment configuration arguments. This differs from Write (reversible modifications) because deployments have cascading effects across multiple AWS services and resources.
From the tool's definition Tool name 'sam_deploy' indicates AWS Serverless Application Model deployment functionality. SAM deployments execute infrastructure-as-code operations that provision, update, and configure AWS resources.
Attacks that exploit this kind of access
sam_deploy. 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 sam_deploy: 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.
sam_deploy 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 sam_deploy 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 sam_deploy. 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.
sam_deploy 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.