finch_build_container_image
AI agents invoke finch_build_container_image to trigger actions in AWS Labs amazon-qindex 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 a container image is an Execute operation because it runs a build process that compiles code and dependencies into a container artifact. The effects are not inherently reversible at scale and the operation triggers external build infrastructure. Severity is high because a malicious build could produce compromised images deployed across infrastructure.
From the tool's definition Tool name 'finch_build_container_image' indicates execution of a container image build process. The 'build' verb combined with 'container_image' suggests triggering an external operation (container build) whose effects depend on build arguments and context.
Documented attack patterns abuse exactly the kind of access finch_build_container_image gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs amazon-qindex MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for finch_build_container_image:
{
"version": "1",
"default": "deny",
"tools": {
"finch_build_container_image": {
"limits": [
{
"counter": "finch_build_container_image_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} 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.
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finch_build_container_image. It is categorised as a Execute tool in the AWS Labs amazon-qindex MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AWS Labs amazon-qindex MCP Server 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 Labs amazon-qindex MCP Server. 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 Labs amazon-qindex MCP Server MCP server (awslabs.amazon-qindex-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Labs amazon-qindex MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
805 AWS Labs amazon-qindex MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.