update_agent_runtime_endpoint
AI agents call update_agent_runtime_endpoint as a supporting operation in Amazon Translate MCP Server workflows.
With no description available, classification is highly uncertain. The name suggests modifying a runtime endpoint configuration (a Write operation), but it's anomalous for an Amazon Translate MCP server. Defaulting to Other with low confidence due to insufficient evidence, while noting it could be Write if it modifies endpoint configuration.
From the tool's definition Tool description is empty and uninformative; tool name 'update_agent_runtime_endpoint' does not clearly match the server's stated purpose of Amazon Translate text translation, custom terminology management, and batch translation processing.
Documented attack patterns abuse exactly the kind of access update_agent_runtime_endpoint 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 update_agent_runtime_endpoint:
{
"version": "1",
"default": "deny",
"tools": {
"update_agent_runtime_endpoint": {
"limits": [
{
"counter": "update_agent_runtime_endpoint_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} update_agent_runtime_endpoint gets a rate cap, and everything else on the server is denied unless you say otherwise.
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update_agent_runtime_endpoint. It is categorised as a Other tool in the Amazon Translate MCP Server MCP Server, which means it performs auxiliary operations.
Register the Amazon Translate MCP Server MCP server in PolicyLayer and add a rule for update_agent_runtime_endpoint: 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.
update_agent_runtime_endpoint is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the update_agent_runtime_endpoint 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 update_agent_runtime_endpoint. 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.
update_agent_runtime_endpoint 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.