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TANTIOPE

Datadog MCP Server

notebooks

Create and manage Datadog notebooks for runbooks, incident documentation, investigation notes, and dashboards as code with list, get, create, update, and delete actions.

Instructions

Manage Datadog Notebooks. Actions: list (search notebooks), get (by ID with cells), create (new notebook), update (modify notebook), delete (remove notebook). Use for: runbooks, incident documentation, investigation notes, dashboards as code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesAction to perform
idNoNotebook ID (required for get/update/delete actions)
queryNoSearch query for notebooks
authorHandleNoFilter by author handle (email)
excludeAuthorHandleNoExclude notebooks by author handle
includeCellsNoInclude cell content in response (default: true for get)
nameNoNotebook name (for create/update)
cellsNoNotebook cells (for create/update)
timeNoTime configuration for notebook
statusNoNotebook status
pageSizeNoNumber of notebooks to return
pageNumberNoPage number for pagination
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as idempotency, authorization requirements, rate limits, or side effects of create/update/delete actions. The description only lists actions without further detail.

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 concise (two sentences) and front-loaded with actions. Every sentence adds value: first sentence lists actions, second provides use cases. No redundant information.

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?

The tool has 12 parameters including nested objects and no output schema. The description does not explain return values, pagination behavior, or action-specific details (e.g., required parameters per action). It is too brief for such a complex tool.

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?

The input schema provides descriptions for all 12 parameters (100% coverage). The tool description adds no additional parameter-level meaning beyond the schema, so it meets the baseline for high coverage.

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 it manages Datadog Notebooks and lists specific actions (list, get, create, update, delete). It also provides example use cases (runbooks, incident documentation, investigation notes, dashboards as code), which differentiates it from sibling tools that manage other 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 mentions use cases but does not explicitly state when to avoid using the tool or compare it to alternatives. Given the sibling tools (e.g., dashboards) manage similar resources, the lack of exclusion guidance leaves room for ambiguity.

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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