update_aws_feature

SERVERDoit SOURCE@doitintl/doit-mcp-server

Medium RISK CLASS

Category Write

Parameters 52 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/doit/update-aws-feature.md

WHAT IT DOES

What update_aws_feature does on Doit

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

Parameter	Type	Required	Description
`s3Bucket`	string	—	S3 bucket name for CloudTrail real-time anomaly detection. Required together with s3BucketRegion.
`accountID`	string	Yes
`s3BucketRegion`	string	—	AWS region of the S3 bucket. Required together with s3Bucket.
`customerContext`	string	—	Scope the request to a specific customer by ID. Required for DoiT employees (whose token isn't tied to a single customer); omit for direct customer users.
`enabledFeatures`	array	Yes	Declares which supported AWS features the caller intends to enable. Values must match feature names configured in awsFeaturePermissions on app/cloud-connect. Th

Parameters from the server's own tool schema.

RISK

Why update_aws_feature is rated Medium

An AI agent can call update_aws_feature faster than any human can review: one bad instruction and it creates or modifies resources in Doit by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_aws_feature safely

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

update_aws_feature Rate-limited

update_aws_feature 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": {
    "update_aws_feature": {
      "limits": [
        {
          "counter": "update_aws_feature_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 Doit, apply this rule, and every update_aws_feature call is checked against it from then on.

FAQ

Questions about update_aws_feature

What does the update_aws_feature tool do? +

Manage cloud provider connections and check feature availability for connected accounts. Updates an AWS feature for an existing CloudConnect account. Unlike the CloudFormation variant, this endpoint does not update Firestore channel documents, require a CloudFormation stack ID, or handle StackSet member role ARNs. It is categorised as a Write tool in the Doit MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does update_aws_feature accept? +

update_aws_feature accepts 5 parameters: s3Bucket, accountID, s3BucketRegion, customerContext, enabledFeatures. Required: accountID, enabledFeatures. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on update_aws_feature? +

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

What risk level is update_aws_feature? +

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

Can I rate-limit update_aws_feature? +

Yes. Add a rate_limit block to the update_aws_feature 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 update_aws_feature completely? +

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

update_aws_feature is provided by the Doit MCP server (@doitintl/doit-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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