notebook_describe

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. While it mentions the tool generates AI summaries and returns specific outputs, it doesn't cover important behavioral aspects like whether this is a read-only operation, potential rate limits, authentication requirements, or what happens if the notebook doesn't exist. For a tool with no annotation coverage, this is insufficient.

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 efficiently structured with a clear purpose statement followed by parameter and return value documentation. The three-sentence format is appropriately concise, though the 'Args:' and 'Returns:' formatting could be more integrated with the natural language description. Every sentence adds value.

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 that there's an output schema (implied by 'Has output schema: true'), the description doesn't need to fully explain return values. However, for a tool with no annotations and multiple sibling tools, the description should provide more context about when to use it and behavioral characteristics. It's minimally adequate but leaves gaps in usage guidance and behavioral transparency.

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?

The description explicitly documents the single parameter ('notebook_id: Notebook UUID') and provides semantic context beyond the schema's basic type information. With 0% schema description coverage, the description fully compensates by explaining what the parameter represents. The baseline would be lower without this parameter documentation.

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 tool's purpose: 'Get AI-generated notebook summary with suggested topics.' It specifies the verb ('Get'), resource ('notebook'), and output format. However, it doesn't explicitly differentiate from sibling tools like 'notebook_get' or 'source_describe', which likely have different functions.

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 provides no guidance on when to use this tool versus alternatives. With many sibling tools like 'notebook_get', 'notebook_query', and 'source_describe', there's no indication of when this AI-generated summary tool is preferred over other notebook-related operations. The description only states what it does, not when to use it.

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