Skip to main content
Glama
us-all

datadog-mcp-server

get-notebook

Retrieve a Datadog notebook with all its cells and content by providing the notebook ID.

Instructions

Get a specific Datadog notebook with all cells and content

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebookIdYesNotebook ID. Example: 1234567
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that the tool returns all cells and content, implying read-only behavior. For a simple retrieval tool, this is adequate, though it omits potential details like authentication or rate limits.

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 that efficiently conveys the tool's purpose. No unnecessary words.

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 simplicity (one parameter, no output schema, no annotations), the description sufficiently explains what the tool does and returns. No gaps.

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%, with the notebookId parameter well-described in the schema. The tool description does not add new meaning to the parameter beyond stating it retrieves a 'specific' notebook.

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 retrieves a single Datadog notebook with full content ('all cells and content'). It distinguishes from sibling tools like list-notebooks, which presumably only list without content.

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 a specific notebook by ID but does not provide explicit guidance on when to use this tool versus alternatives (e.g., list-notebooks for browsing IDs) or any exclusions.

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/us-all/datadog-mcp-server'

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