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us-all

datadog-mcp-server

list-notebooks

Read-only

Retrieve Datadog notebooks with search by name, filter by author, and sort by field and direction.

Instructions

List Datadog notebooks with search and filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSearch query to filter notebooks by name. Example: incident postmortem
authorHandleNoFilter by author handle (email). Example: user@example.com
countNoNumber of results to return (default 50)
startNoPagination offset
sortFieldNoSort field: modified, name, createdmodified
sortDirNoSort direction: asc or descdesc
includeCellsNoInclude notebook cell contents in response
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description's mention of 'search and filtering' adds minimal behavioral context. No contradictions, but no additional depth beyond what annotations provide.

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?

Single sentence, directly to the point, no unnecessary words. Efficient and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that all parameters are well-described in the schema and annotations are present, the description is nearly complete. It could mention pagination or response format, but the parameters (start, count, sort) cover pagination usage.

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 detailed parameter descriptions. The description does not add any meaning beyond what the schema already provides, so baseline score of 3 is appropriate.

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 'List Datadog notebooks with search and filtering' clearly states the action (list), resource (notebooks), and capabilities (search and filtering). It distinguishes from siblings like 'get-notebook' which retrieves a single notebook.

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?

No explicit when-to-use or alternatives guidance. It is implied that this tool is for listing notebooks, but no mention of when to prefer this over other list tools or what scenarios it's best for.

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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