Free classics

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, covering safety and idempotency. The description adds 'readable in full right now', which communicates that content is immediately accessible without paywalls or restrictions—a useful behavioral detail. However, it does not clarify response format or how results are presented, so it adds limited value beyond the annotations.

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, tightly written sentence that immediately communicates the core value proposition. It is front-loaded with the key information (public-domain, Project Gutenberg, readable in full) and contains no filler. While it could add a bit more detail without becoming verbose, its brevity is a strength.

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 the tool has three optional parameters and no output schema, the description is notably incomplete. It does not mention what the tool returns (e.g., a list of titles, metadata, links), how the parameters influence results, or any edge cases like limits or error behavior. An agent has insufficient information to call this tool effectively, especially as the schema lacks parameter descriptions.

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 description coverage is 0%, and the description fails to explain any of the three parameters (count, topic, intent). Since the schema provides no descriptions, the tool description is the only source of parameter meaning, but it remains silent. Agents must guess what 'count' (number of results?), 'topic' (subject filter?), and 'intent' (user's goal?) mean, which is nearly impossible without external knowledge. The description does not compensate at all for the schema gap.

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: providing public-domain classics from Project Gutenberg, readable in full. It specifies a distinct resource and action, making the tool's function understandable. However, it does not differentiate from sibling tools like 'recommend' or 'blind_date' that might also involve books, so it doesn't fully distinguish itself.

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 the listed siblings. There is no mention of preferred contexts, alternative tool suggestions, or exclusions. The tool's optional parameters (count, topic, intent) hint at filtering, but no explicit usage conditions are stated, leaving the agent to infer.

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