get_notebook

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It adds the detail that the tool returns 'all cells and content', which is useful. However, it does not mention any side effects, authentication needs, or limitations. For a read operation, this is adequate but minimal.

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

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

The description is a single, front-loaded sentence that efficiently conveys the tool's purpose. No extraneous words or unnecessary details. Ideal for quick parsing by an AI agent.

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

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

Given the simple tool (one required parameter, no output schema), the description is fairly complete. It specifies what the tool does and what it returns. It could mention output format or error handling but is sufficient for an agent to understand the basic function.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the single parameter 'notebook_id', with a description 'Notebook ID'. The description adds no additional meaning beyond what the schema provides. Baseline score of 3 is appropriate as the schema already documents the parameter sufficiently.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Get'), the resource ('a specific Datadog notebook'), and the scope ('by ID with all cells and content'). It distinguishes from sibling tools like 'get-notebooks' which likely list notebooks. The specificity of 'by ID' and 'all cells and content' provides high clarity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context: use when you have a specific notebook ID and need full content. However, it lacks explicit guidance on when to use this tool vs. alternatives like 'get-notebooks' or 'list_notebooks'. The sibling list includes many similar tools but no exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.