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Robiton
by Robiton

notebook_describe

Retrieve an AI-generated summary of a notebook and a list of suggested topics to explore.

Instructions

Get AI-generated notebook summary with suggested topics.

Args: notebook_id: Notebook UUID

Returns: summary (markdown), suggested_topics list

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full burden. It implies a read-only operation but does not disclose whether it caches results, requires authentication, or has any side effects. The AI-generated aspect hints at computational cost but is not explicit.

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 extremely concise with no wasted words. It front-loads the purpose and efficiently lists arguments and returns.

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 a single parameter and an existing output schema, the description covers the essential return format (summary markdown, suggested_topics list). It is adequate for a simple describe tool, though it lacks details on error handling or limitations.

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

Parameters4/5

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

The description adds meaning to the single parameter by specifying it is a 'Notebook UUID', beyond the schema's mere string type. With 0% schema description coverage, the description compensates well.

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's purpose: get an AI-generated notebook summary with suggested topics. It uses a specific verb-resource combination and distinguishes itself from siblings like notebook_get (raw content) and notebook_list (listing).

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as notebook_get or notebook_query. There are no prerequisites, exclusions, or alternative tools mentioned.

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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