Medium Risk

create_datasource

create_datasource

How to control create_datasource ↓

What create_datasource does on Awslabs Amazon Sns Sqs

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

Medium Risk

Why create_datasource needs a policy

The 'create_' prefix conventionally indicates resource creation, which is a reversible Write operation. Without an explicit description, confidence is moderate. This creates a new datasource (likely for SNS/SQS messaging) but does not execute arbitrary code, delete data, or move money.

From the tool's definition Tool name is 'create_datasource' which indicates creation/provisioning of a new resource. The server description mentions 'provision and manage your messaging services' suggesting resource creation capabilities.

Documented attack patterns abuse exactly the kind of access create_datasource gives an agent:

How to control create_datasource

PolicyLayer is an MCP gateway — it sits between your AI agents and Awslabs Amazon Sns Sqs, and nothing reaches the server without passing your rules. This is the rule we recommend for create_datasource:

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

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.

  1. Create a free account and register Awslabs Amazon Sns Sqs — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about create_datasource

What does the create_datasource tool do? +

create_datasource. It is categorised as a Write tool in the Awslabs Amazon Sns Sqs 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 Awslabs Amazon Sns Sqs 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 Awslabs Amazon Sns Sqs. 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 Awslabs Amazon Sns Sqs MCP server (awslabs.amazon-sns-sqs-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Awslabs Amazon Sns Sqs tool call.

Start from Awslabs Amazon Sns Sqs, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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