AI agents invoke finch_push_image to trigger actions in Prometheus 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.
Pushing a container image to a registry is an external operation with side effects (Write/Execute level). With no description available, confidence is reduced, but the name implies executing a push operation to a remote registry, which could affect deployed infrastructure. Classified as Execute due to the external operation nature, with high severity given potential impact on container registries and deployments.
From the tool's definition Tool name 'finch_push_image' suggests pushing a container image (Finch is an AWS container tool); description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access finch_push_image gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Prometheus MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for finch_push_image:
{
"version": "1",
"default": "deny",
"tools": {
"finch_push_image": {
"limits": [
{
"counter": "finch_push_image_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}finch_push_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_push_image. It is categorised as a Execute tool in the Prometheus MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Prometheus MCP Server MCP server in PolicyLayer and add a rule for finch_push_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 Prometheus MCP Server. Nothing to install.
finch_push_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_push_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_push_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_push_image is provided by the Prometheus MCP Server MCP server (awslabs.prometheus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Prometheus 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 Prometheus MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.