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datadog-mcp-server

get-notebook

Read-only

Fetch a Datadog notebook by ID, returning all cells and content. Use to view or process notebook details.

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?

Annotations already indicate readOnlyHint=true and openWorldHint=true, so the safety profile is clear. The description adds value by specifying that the tool returns 'all cells and content', providing concrete behavioral detail beyond annotations. No contradictions.

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, front-loaded sentence of 9 words with no filler. Every word is essential: verb, resource, and scope ('with all cells and content'). Appropriate for the tool's simplicity.

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 only one required parameter, no output schema, and annotations cover read-only and open-world behavior, the description fully explains what the tool does and what it returns. No missing critical information for an agent to invoke it correctly.

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 description coverage is 100% with the parameter already documented as 'Notebook ID. Example: 1234567'. The tool description does not add additional meaning to the parameter beyond referencing a 'specific' notebook, which is inherent from the parameter role.

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 'Get' and the resource 'a specific Datadog notebook with all cells and content'. This distinguishes it from sibling tools like 'list-notebooks' which lists notebooks without full content, and from other 'get' tools for different resources.

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 when needing a specific notebook's full content, but it does not explicitly state when to use this tool versus alternatives (e.g., 'list-notebooks' for browsing). No exclusions or conditions are mentioned.

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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