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datadog-mcp-server

list-notebooks

Search and filter Datadog notebooks by name, author, or content. Control sorting, pagination, and inclusion of cell contents.

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?

No annotations provided. Description only states 'List ... with search and filtering', which implies read-only, but does not disclose rate limits, pagination behavior, or output format. Parameters add some context, but description is minimal.

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, 6 words, no filler. Front-loaded with action and resource. Efficient.

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?

No output schema, but description fails to mention return structure (e.g., list of notebook summaries) or default behavior (e.g., returns first 50 if no query). Missing details for a tool with multiple filtering options.

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 has 100% description coverage for all 7 parameters. Description adds no extra meaning beyond 'search and filtering', so baseline 3 applies.

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?

Description clearly states verb 'List', resource 'Datadog notebooks', and mentions search/filtering. It distinguishes from sibling list tools by specifying the resource and operation type.

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?

Implies usage for listing notebooks with filters, but no explicit guidance on when to use this tool over alternatives like get-notebook or search-logs. Missing context on when not to use.

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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