Remove occurrences of value from list.
AI agents invoke list_remove 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.
The description suggests removing occurrences of a value from a list, which could be a data modification or destructive operation. However, the description is vague and doesn't clarify whether this operates on in-memory data structures or persistent storage. Given the Amazon Translate context (text translation, terminology management), this may relate to manipulating list data (e.g., terminology entries).
From the tool's definition Tool name: 'list_remove', description: 'Remove occurrences of value from list.'
Documented attack patterns abuse exactly the kind of access list_remove 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 list_remove:
{
"version": "1",
"default": "deny",
"tools": {
"list_remove": {
"limits": [
{
"counter": "list_remove_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} list_remove 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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Remove occurrences of value from list. 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 list_remove: 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.
list_remove 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 list_remove 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 list_remove. 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.
list_remove 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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