Skip to main content
Glama
ClaudioLazaro

MCP Datadog Server

get_integration_slack_configuration_account_channels_v1_2

Retrieve configured Slack channels for Datadog integration to manage alert notifications and monitoring workflows.

Instructions

Get a channel configured for your Datadog-Slack integration.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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 states this is a 'Get' operation (implying read-only), but doesn't specify authentication requirements, rate limits, error conditions, or what 'configured' means in practice. The description is minimal and leaves important behavioral aspects undocumented.

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, efficient sentence that directly states what the tool does without unnecessary words. It's appropriately sized for a simple retrieval operation and front-loads the essential information. There's no wasted verbiage or structural issues.

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?

For a tool with no annotations, no output schema, and minimal description, this is incomplete. The description doesn't explain what 'configured' means, what format the channel information is returned in, whether this returns a single channel or multiple channels, or any error conditions. Given the complexity implied by the version suffix (v1_2) and the integration context, more information would be helpful.

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 0 parameters with 100% schema description coverage, so the schema already fully documents the parameter situation. The description doesn't need to add parameter information, and it appropriately doesn't mention any parameters. A baseline of 4 is appropriate for a zero-parameter tool where the schema coverage is complete.

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

Purpose4/5

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

The description clearly states the action ('Get') and the resource ('a channel configured for your Datadog-Slack integration'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'get_integration_slack_configuration_account_channels_v1' or 'create_integration_slack_configuration_account_channels', which would require more specificity about version differences or scope.

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 provides no guidance on when to use this tool versus alternatives. There are multiple sibling tools for Slack integration configuration (create, delete, update, and another get version), but no indication of when this specific v1_2 version should be used or what distinguishes it from other similar tools.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ClaudioLazaro/mcp-datadog-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server