create_datasource · Amazon MQ MCP Server MCP: Risk & Policy

WHAT IT DOES

What create_datasource does on Amazon MQ MCP Server

AI agents use create_datasource to create or update resources in Amazon MQ MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon MQ MCP Server environment.

WHY IT NEEDS A POLICY

Why create_datasource needs a policy

The tool name 'create' indicates a Write operation that creates a new resource. While the empty description reduces confidence, the verb 'create' in the tool name strongly suggests reversible data creation rather than destructive, financial, or execution actions. Given that this is part of a broker management service, creating a data source would establish a new configuration or connection object.

From the tool's definition Tool name is 'create_datasource' with an empty description. Based on naming convention and context of an Amazon MQ MCP server for provisioning and managing AMQ brokers, this appears to create a new data source resource.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_datasource Rate-limited

create_datasource 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_datasource": {
      "limits": [
        {
          "counter": "create_datasource_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Amazon MQ MCP Server, so you can run agents against it safely.

FAQ

Questions about create_datasource

What does the create_datasource tool do? +

create_datasource. It is categorised as a Write tool in the Amazon MQ MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_datasource? +

Register the Amazon MQ MCP Server MCP server in PolicyLayer and add a rule for create_datasource: 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 MQ MCP Server. Nothing to install.

What risk level is create_datasource? +

create_datasource is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_datasource? +

Yes. Add a rate_limit block to the create_datasource 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.

How do I block create_datasource completely? +

Set action: deny in the PolicyLayer policy for create_datasource. 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.

What MCP server provides create_datasource? +

create_datasource is provided by the Amazon MQ MCP Server MCP server (awslabs.amazon-mq-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.