create_datastore

A write tool on the AWS MCP server.

SERVERAWS SOURCE@awslabs/mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/aws/create-datastore.md

WHAT IT DOES

What create_datastore does on AWS

AI agents use create_datastore 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.

RISK

Why create_datastore is rated Medium

The tool performs a reversible creation/modification action (Write category) rather than irreversible deletion or financial operations. Severity is medium because creating unauthorized datastores could lead to resource sprawl, cost implications, or data exposure, but the action itself is not immediately destructive.

From the tool's definition Tool name 'create_datastore' indicates creation of a data storage resource. On AWS, creating datastores typically creates persistent data storage resources (databases, tables, buckets, etc.) that can be modified or deleted later.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_datastore safely

PolicyLayer is an MCP gateway: it sits between your AI agents and AWS, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_datastore, this is the rule to start with:

create_datastore Rate-limited

create_datastore 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_datastore": {
      "limits": [
        {
          "counter": "create_datastore_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AWS, apply this rule, and every create_datastore call is checked against it from then on.

FAQ

Questions about create_datastore

What does the create_datastore tool do? +

create_datastore is a write tool on the AWS MCP server. 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_datastore? +

Register the AWS MCP server in PolicyLayer and add a rule for create_datastore: 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_datastore? +

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

Can I rate-limit create_datastore? +

Yes. Add a rate_limit block to the create_datastore 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_datastore completely? +

Set action: deny in the PolicyLayer policy for create_datastore. 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_datastore? +

create_datastore 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.

KEEP EXPLORING

More on AWS, and thousands of servers like it.

This server

All 300 AWS tools →

Across the catalogue

create_task on 0rca Dojo MCP Server →create-task on Kanban MCP Server →create_package_backup on Android Forensics ADB MCP Server →create_project on Stitch MCP Server → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →