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dreamiurg

Datadog MCP Server

by dreamiurg

list_confluent_accounts

Retrieve all Confluent Cloud accounts that are integrated with Datadog to monitor Kafka clusters.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly indicates a read-only list operation without side effects. For a simple tool with no parameters, the description is transparent enough, though it could mention that the account list is pre-integrated and does not modify state.

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, clear sentence with no wasted words. It is front-loaded and immediately conveys the tool's purpose.

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

Completeness5/5

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

Given the tool has no parameters, no output schema, and performs a straightforward list operation, the description is complete. It tells the agent exactly what the tool does without any missing details.

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?

The tool has zero parameters, and the schema coverage is 100% (trivially). The description does not need to add parameter information. Baseline score of 4 is appropriate as there are no parameters to document.

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 tool lists Confluent Cloud accounts integrated with Datadog for monitoring Kafka clusters. It uses a specific verb ('List') and a distinct resource ('Confluent Cloud accounts'), and it distinguishes itself from sibling tools like list_aws_accounts or list_azure_integration by specifying a unique integration.

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?

The description does not provide any guidance on when to use this tool versus alternatives, nor does it mention prerequisites, limitations, or when not to use it. While the name and sibling list imply the tool is for listing Confluent-specific integrations, no explicit usage context is given.

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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