AI agents invoke sam_deploy to trigger actions in Amazon Translate 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.
sam_deploy executes AWS CloudFormation/SAM deployments, which are external operations with effects depending on the deployment configuration provided. This falls under Execute category (runs code/triggers external operations whose effects depend on arguments). Severity is high because a misused deployment could modify production infrastructure, create resources, or alter application behavior.
From the tool's definition Tool name 'sam_deploy' indicates deployment of AWS SAM (Serverless Application Model) applications. Despite empty description, this is a deployment/execution tool that triggers infrastructure changes.
Documented attack patterns abuse exactly the kind of access sam_deploy gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Translate MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for sam_deploy:
{
"version": "1",
"default": "deny",
"tools": {
"sam_deploy": {
"limits": [
{
"counter": "sam_deploy_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} sam_deploy 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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sam_deploy. It is categorised as a Execute tool in the Amazon Translate MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Amazon Translate MCP Server MCP server in PolicyLayer and add a rule for sam_deploy: 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 Amazon Translate MCP Server. Nothing to install.
sam_deploy 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 sam_deploy 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 sam_deploy. 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.
sam_deploy is provided by the Amazon Translate MCP Server MCP server (awslabs.amazon-translate-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon Translate 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 Amazon Translate MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.