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iaas_create_aws_cloud_account_async

Creates an AWS cloud account asynchronously in the current organization, with optional credential validation before creation. Use it to register AWS access for provisioning in VCF Automation.

Instructions

Create a cloud account Create a cloud account in the current organization POST /iaas/api/cloud-accounts-aws

Input Schema

NameRequiredDescriptionDefault
bodyYesSpecification for a Amazon cloud account.A cloud account identifies a cloud account type and an account-specific deployment region or data center where the associated cloud account resources are hosted. — Cloud account Aws specification
apiVersionYesThe version of the API in yyyy-MM-dd format (UTC). For versioning information refer to /iaas/api/about
validateOnlyNoIf provided, it only validates the credentials in the Cloud Account Specification, and cloud account will not be created.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.5/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare this as a non-read-only, non-idempotent, open-world write, so the safety profile is covered. What the description omits is the behavior that matters most here: the operation is async and presumably returns a request tracker that must be polled, and the org scoping of the created account. 'In the current organization' is the only added context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Short and front-loaded, but the first two lines are redundant paraphrases and the third is a bare HTTP path. Little of the visible text earns additional space beyond what the name already conveys.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A nested-body, async creation mutation with no output schema and no annotations explaining the async contract. The description says nothing about how the operation completes or that sibling tools like iaas_get_request_tracker are needed to follow it, leaving a real operational gap.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both the nested AWS spec fields and apiVersion are already documented in the schema. The description adds no interpretation of the parameters and does not clarify validateOnly's string-typed, validation-only semantics. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a verb and resource ('Create a cloud account in the current organization') and the endpoint path pins it to AWS ('/iaas/api/cloud-accounts-aws'). However, the three lines largely restate each other and restate the tool name, and nothing distinguishes this from iaas_create_cloud_account_async or the Azure/GCP/vSphere variants beyond the raw URL.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use or when-not-to-use guidance, no prerequisites (an AWS access key/secret or IAM role ARN is effectively required), and no mention of the validateOnly path. The agent must infer from the name that this is the AWS-specific variant.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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