AI agents use create_api to create or update resources in Amazon Translate MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon Translate MCP Server environment.
The tool performs a creation action ('create_api'), which modifies state by adding new API resources. This is reversible (APIs can be deleted/modified later), placing it in the Write category rather than Execute or Destructive. Medium severity reflects that API creation could expose translation services to unauthorized callers or misconfiguration, but the exact blast radius is unclear due to the absent description.
From the tool's definition Tool name 'create_api' suggests creation of an API resource. Given the server context (Amazon Translate), this likely creates API configurations or resources (e.g., API keys, endpoints, or custom API settings). The empty description limits certainty.
Documented attack patterns abuse exactly the kind of access create_api 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 create_api:
{
"version": "1",
"default": "deny",
"tools": {
"create_api": {
"limits": [
{
"counter": "create_api_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} create_api stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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create_api. It is categorised as a Write tool in the Amazon Translate MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Amazon Translate MCP Server MCP server in PolicyLayer and add a rule for create_api: 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.
create_api is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_api 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 create_api. 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.
create_api 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.