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dreamiurg

Datadog MCP Server

by dreamiurg

list_cloudflare_accounts

Retrieve Cloudflare accounts integrated with Datadog to monitor CDN and edge performance.

Instructions

List Cloudflare accounts integrated with Datadog for monitoring CDN and edge performance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only states the tool 'lists accounts', but does not mention return format, schema, pagination, rate limits, or whether the operation is read-only. Important behavioral details are omitted.

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?

The description is a single, grammatically complete sentence that immediately conveys the tool's purpose. It is front-loaded and contains no superfluous words, earning a high conciseness score.

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

Completeness4/5

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

For a parameterless tool with no output schema, the description adequately explains what the tool does and the context (Cloudflare accounts integrated with Datadog, for CDN/edge monitoring). It could optionally mention that the output is likely a list of account IDs/names, but the current level is sufficient for a simple list operation.

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

Parameters4/5

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

There are zero parameters, and schema coverage is 100% (trivially). Per guidelines, baseline is 4. The description adds value by specifying the integration context and monitoring purpose, which complements the empty schema.

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 clearly specifies the tool lists Cloudflare accounts integrated with Datadog for monitoring CDN and edge performance. It uses a specific verb ('list') and resource ('Cloudflare accounts'), and distinguishes from sibling tools like list_aws_accounts or list_azure_integration by naming the integration partner.

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

Usage Guidelines3/5

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

The description implies usage for retrieving Cloudflare account listings, but does not provide explicit guidance on when to use this tool versus alternatives (e.g., list_aws_accounts) or specify prerequisites (e.g., Datadog-Cloudflare integration must be configured). No when-not-to-use or exclusion criteria are stated.

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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