list_aws_recommendations

SERVERDoit SOURCE@doitintl/doit-mcp-server

Low RISK CLASS

Category Read

Parameters 31 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/doit/list-aws-recommendations.md

WHAT IT DOES

What list_aws_recommendations does on Doit

AI agents call list_aws_recommendations to retrieve information from Doit without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`X-Tenant-Id`	string	—
`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.
`managementAccountId`	string	Yes

Parameters from the server's own tool schema.

RISK

Why list_aws_recommendations is rated Low

Even though list_aws_recommendations only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs list_aws_recommendations 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 list_aws_recommendations, this is the rule to start with:

list_aws_recommendations Allowed

list_aws_recommendations is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_aws_recommendations": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about list_aws_recommendations

What does the list_aws_recommendations tool do? +

Evaluate current AWS commitments, plan and automate purchases, and optimize cloud costs with PerfectScale for Commitments. Returns commitment purchase recommendations for the AWS organization, keyed by commitment type (compute, database). A commitment type is present only when it is onboarded and a recommendation is available. It is categorised as a Read tool in the Doit MCP Server, which means it retrieves data without modifying state.

What parameters does list_aws_recommendations accept? +

list_aws_recommendations accepts 3 parameters: X-Tenant-Id, customerContext, managementAccountId. Required: managementAccountId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on list_aws_recommendations? +

Register the Doit MCP server in PolicyLayer and add a rule for list_aws_recommendations: 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 list_aws_recommendations? +

list_aws_recommendations is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_aws_recommendations? +

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

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

list_aws_recommendations 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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