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build_and_push_image_to_ecr

build_and_push_image_to_ecr

How to control build_and_push_image_to_ecr ↓

What build_and_push_image_to_ecr does on CloudWatch Application Signals MCP Server

AI agents invoke build_and_push_image_to_ecr to trigger actions in CloudWatch Application Signals 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.

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Why build_and_push_image_to_ecr needs a policy

Building and pushing Docker images are execute operations that run external commands (docker build) and perform side effects on AWS infrastructure (uploading to ECR). While reversible (images can be deleted/replaced), the tool triggers code execution and modifies cloud state. This is Execute rather than Write because it involves running build processes.

From the tool's definition Tool name 'build_and_push_image_to_ecr' indicates execution of Docker image build operations and push to AWS Elastic Container Registry. These are operations that trigger external processes (Docker build) and interact with AWS services to store artifacts.

Documented attack patterns abuse exactly the kind of access build_and_push_image_to_ecr gives an agent:

How to control build_and_push_image_to_ecr

PolicyLayer is an MCP gateway — it sits between your AI agents and CloudWatch Application Signals MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for build_and_push_image_to_ecr:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "build_and_push_image_to_ecr": {
      "limits": [
        {
          "counter": "build_and_push_image_to_ecr_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

build_and_push_image_to_ecr stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register CloudWatch Application Signals MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about build_and_push_image_to_ecr

What does the build_and_push_image_to_ecr tool do? +

build_and_push_image_to_ecr. It is categorised as a Execute tool in the CloudWatch Application Signals MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on build_and_push_image_to_ecr? +

Register the CloudWatch Application Signals 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 CloudWatch Application Signals MCP Server. Nothing to install.

What risk level is build_and_push_image_to_ecr? +

build_and_push_image_to_ecr is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit build_and_push_image_to_ecr? +

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.

How do I block build_and_push_image_to_ecr completely? +

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.

What MCP server provides build_and_push_image_to_ecr? +

build_and_push_image_to_ecr is provided by the CloudWatch Application Signals MCP Server MCP server (awslabs.cloudwatch-applicationsignals-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every CloudWatch Application Signals MCP Server tool call.

Start from CloudWatch Application Signals MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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805 CloudWatch Application Signals MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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