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dreamiurg

Datadog MCP Server

by dreamiurg

list_aws_accounts

Retrieve a list of AWS accounts linked to your Datadog account, with support for filtering by specific account ID.

Instructions

List AWS accounts integrated with Datadog

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aws_account_idNoFilter by AWS account ID
Behavior2/5

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

No annotations provided, so the description carries full behavioral burden. It only mentions 'List' without details on pagination, rate limits, or whether all accounts are returned versus filtered. This is insufficient for an agent to understand behavior.

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

Conciseness5/5

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

A single, direct sentence with no wasted words. It is front-loaded and efficient, earning its place.

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

Completeness3/5

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

For a simple list tool with one optional parameter, the description is adequate but lacks information about return format or usage. Without an output schema, the agent cannot infer the response structure. Still, minimal viable for its simplicity.

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 coverage is 100% for the single parameter, which already has a description ('Filter by AWS account ID'). The tool description adds no additional meaning beyond the schema, so baseline 3 is appropriate.

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

Purpose5/5

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

The description 'List AWS accounts integrated with Datadog' clearly states the verb (List) and resource (AWS accounts integrated with Datadog), distinguishing it from sibling tools like list_api_keys or list_cloudflare_accounts.

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 guidance on when to use this tool versus alternatives. It does not specify prerequisites, exclusions, or context for use among the many list_* and get_* siblings.

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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