build_and_push_image_to_ecr
AI agents invoke build_and_push_image_to_ecr to trigger actions in AWS Bedrock AgentCore 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 Docker images to a container registry involves executing build commands (likely docker build or equivalent) and performing network operations to upload artifacts. This is an Execute category tool because it triggers external operations (container build, image push) whose effects depend on the image source and ECR destination arguments.
From the tool's definition Tool name 'build_and_push_image_to_ecr' directly indicates it builds and pushes container images 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 Bedrock AgentCore MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS Bedrock AgentCore 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 Bedrock AgentCore 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 Bedrock AgentCore MCP Server MCP server (awslabs.amazon-bedrock-agentcore-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.