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Datadog MCP Server

Datadog MCP Server

by dreamiurg
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

list_confluent_accounts

Retrieve all Confluent Cloud accounts integrated with Datadog for monitoring Kafka clusters. View linked accounts to manage your monitoring setup.

Instructions

List Confluent Cloud accounts integrated with Datadog for monitoring Kafka clusters.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_confluent_accounts"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.11.0

TDQS

A4/5.0
Behavior2/5

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

No annotations are provided, and the description does not disclose any behavioral traits such as authentication needs, rate limits, or side effects. For a read operation, it adds minimal context beyond the obvious.

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?

One sentence, 13 words, front-loaded with verb and resource. No wasted words.

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 simple parameterless list tool, the description is sufficient to understand what is returned. Could mention prerequisites, but not strictly necessary.

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?

With zero parameters, the description implicitly states no filtering is needed. Baseline for 0 params is 4, and the description adds clarity by specifying 'integrated with Datadog'.

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 states the verb 'list' and the resource 'Confluent Cloud accounts integrated with Datadog for monitoring Kafka clusters', making the tool's purpose specific and distinct from sibling tools like list_aws_accounts.

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

Usage Guidelines4/5

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

The context is clear: use to list Confluent Cloud accounts. However, no explicit guidance on when not to use or alternatives, though the tool's specificity implies its niche.

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

Deploy Server

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