Medium Risk

create_table_bucket

create_table_bucket

How to control create_table_bucket ↓

What create_table_bucket does on AWS

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

Medium Risk

Why create_table_bucket needs a policy

The tool creates a new table or bucket, which is a reversible Write operation. Without a description, confidence is moderate. Severity is medium because creating cloud resources can have cost implications and affects system state, but it's not inherently destructive or financial without evidence of billing triggers.

From the tool's definition Tool name 'create_table_bucket' suggests creation of a data structure or storage resource. The 'create_' prefix indicates a Write operation that adds a new entity.

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

How to control create_table_bucket

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

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

create_table_bucket 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 AWS — 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_table_bucket

What does the create_table_bucket tool do? +

create_table_bucket. It is categorised as a Write tool in the AWS 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_table_bucket? +

Register the AWS MCP server in PolicyLayer and add a rule for create_table_bucket: 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 AWS. Nothing to install.

What risk level is create_table_bucket? +

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

Can I rate-limit create_table_bucket? +

Yes. Add a rate_limit block to the create_table_bucket 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_table_bucket completely? +

Set action: deny in the PolicyLayer policy for create_table_bucket. 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_table_bucket? +

create_table_bucket is provided by the AWS MCP server (@awslabs/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AWS tool call.

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

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300 AWS tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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