Skip to main content
Glama
dreamiurg

Datadog MCP Server

by dreamiurg

list_notebooks

List Datadog notebooks to find investigation documents, runbooks, and postmortems. Filter by name, author, or sort by modification date.

Instructions

List Datadog notebooks (investigation documents, runbooks, postmortems)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch query for notebook name
countNoNumber of notebooks to return
startNoOffset for pagination
sort_fieldNoField to sort by (e.g. modified)
sort_dirNoSort direction (asc or desc)
author_handleNoFilter by author handle
Behavior2/5

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

With no annotations, the description must cover behavior. It only says 'List', without disclosing pagination, filtering behavior, or any side effects. The agent is left to infer from the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no wasted words, including helpful parenthetical context. It is front-loaded and efficient, though very brief.

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?

With 6 parameters, no output schema, and no annotations, the description is incomplete. It fails to explain return values, pagination behavior, or how parameters interact, leaving significant gaps for the agent.

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%, so the schema already describes all parameters. The description adds no additional meaning beyond the schema. Baseline 3 applies.

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 tool lists Datadog notebooks and defines what notebooks are (investigation documents, runbooks, postmortems). However, it does not differentiate from the sibling tool 'get-notebooks', which may perform a similar function.

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?

No guidance is provided on when to use this tool versus alternatives like 'get-notebooks' or other listing tools. There is no mention of prerequisites, use cases, or 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/dreamiurg/datadog-mcp'

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