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notebook_describe

Retrieve an AI-generated summary of a notebook along with suggested topics to quickly understand its content.

Instructions

Get AI-generated notebook summary with suggested topics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_idYesNotebook UUID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so the description carries full burden. It mentions 'AI-generated' but does not disclose whether the operation is read-only, expensive, or has prerequisites beyond notebook existence.

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

Conciseness4/5

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

Single sentence, front-loaded with action and key output. No waste, but could include more detail without becoming verbose.

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

Completeness3/5

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

Output schema exists, so description need not detail return shape. However, it lacks error handling, prerequisites, or behavioral constraints. Adequate for a simple tool but not complete.

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% for the single parameter (notebook_id), but the description adds no additional meaning beyond the schema's 'Notebook UUID' label. Baseline 3 with no added value.

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 tool returns an AI-generated notebook summary with suggested topics, distinguishing it from siblings like notebook_get (raw content) and notebook_query (search/query).

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 does not explicitly guide when to use this tool versus alternatives (e.g., notebook_get vs notebook_describe). It implies usage for summaries but lacks explicit context.

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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