build_and_push_image_to_ecr
AI agents invoke build_and_push_image_to_ecr to trigger actions in AWS Labs CloudWatch 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.
Building and pushing container images involves executing a build process and making network calls to a registry service. This is an Execute category action because it triggers external operations (Docker build, ECR push) whose effects depend on the image source and target arguments.
From the tool's definition Tool name 'build_and_push_image_to_ecr' indicates building a Docker image and pushing it to Amazon ECR (Elastic Container Registry).
Attacks that exploit this kind of access
build_and_push_image_to_ecr. It is categorised as a Execute tool in the AWS Labs CloudWatch MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS Labs CloudWatch MCP Server MCP server in PolicyLayer and add a rule for build_and_push_image_to_ecr: 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 Labs CloudWatch MCP Server. Nothing to install.
build_and_push_image_to_ecr 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 build_and_push_image_to_ecr 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 build_and_push_image_to_ecr. 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.
build_and_push_image_to_ecr is provided by the AWS Labs CloudWatch MCP Server MCP server (awslabs.cloudwatch-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.