generate_ebook

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

No annotations are provided, so the description carries the full burden. It discloses the generation action but lacks any details about side effects, return format, duration, or whether it modifies data. For a tool that generates content, the lack of behavioral context is a gap.

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 extremely concise, front-loaded with the action and output type, and includes a clear Args section. Every sentence serves a purpose with no redundancy.

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?

For a simple one-parameter tool, the description provides the essential context: what it does, the required input, and a constraint on that input. It lacks output format details, but given the simplicity and the presence of sibling tools, it is reasonably complete.

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 schema only provides 'Product Idea Id' with 0% description coverage. The description compensates by explaining the parameter as 'the ID of a product idea with product_type=ebook', adding semantic meaning and a validation constraint.

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 a specific verb ('Generate') and a distinct resource ('a full chapter-by-chapter ebook for a product idea of type ebook'). It differentiates from sibling generation tools by specifying the ebook output type and the prerequisite product_type constraint.

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 when to use it: for product ideas with product_type='ebook', which is a clear contextual signal. It doesn't explicitly mention alternatives or exclusions, but the type constraint serves as a strong usage guideline.

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