This record as markdown: /tools/aws/finch-build-container-image.md
What finch_build_container_image does on AWS
AI agents invoke finch_build_container_image to trigger actions in AWS. 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.
Why finch_build_container_image is rated High
Container image building is an Execute operation that triggers external build processes and can run arbitrary code defined in build configurations. While the description is empty, the sibling tools (AWS policy attachment, audit operations) suggest this is an AWS infrastructure tool, and container image builds are executable operations with effects dependent on build configuration arguments.
From the tool's definition Tool name 'finch_build_container_image' indicates execution of a container image build operation. Building container images involves executing build processes, potentially running arbitrary code embedded in Dockerfiles or build scripts.
Attacks that exploit this kind of access
The rule that runs finch_build_container_image safely
PolicyLayer is an MCP gateway: it sits between your AI agents and AWS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For finch_build_container_image, this is the rule to start with:
finch_build_container_image 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.
The button opens the PolicyLayer dashboard: create your workspace, connect AWS, apply this rule, and every finch_build_container_image call is checked against it from then on.
Questions about finch_build_container_image
finch_build_container_image is a execute tool on the AWS MCP server. It is categorised as a Execute tool in the AWS MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS MCP server in PolicyLayer and add a rule for finch_build_container_image: 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. Nothing to install.
finch_build_container_image 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 finch_build_container_image 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 finch_build_container_image. 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.
finch_build_container_image is provided by the AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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