Connect to a SQL Server RDS instance and save the connection internally
AI agents invoke connect_to_database 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.
This tool establishes a network connection to a SQL Server RDS database instance and persists the connection state internally. Initiating external database connections is an active operation with side effects (open network session, saved credentials/state). While it doesn't directly read or write data, it opens an active connection to an external system, which is an Execute-category action.
From the tool's definition Connect to a SQL Server RDS instance and save the connection internally
Documented attack patterns abuse exactly the kind of access connect_to_database 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 connect_to_database:
{
"version": "1",
"default": "deny",
"tools": {
"connect_to_database": {
"limits": [
{
"counter": "connect_to_database_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} connect_to_database 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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Connect to a SQL Server RDS instance and save the connection internally. 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 connect_to_database: 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.
connect_to_database 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 connect_to_database 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 connect_to_database. 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.
connect_to_database 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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