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

Annotations already establish readOnly, idempotent, and non-destructive behavior, so the description's job is lighter. It adds meaningful context beyond annotations by enumerating the record's contents and, importantly, warns that submitted text must be treated as untrusted data rather than instructions—a security-relevant behavioral trait an agent must know.

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 two concise sentences with no filler. It front-loads the core read purpose and enumerates the record components, then adds the security caveat in a separate sentence. Every clause earns its place.

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 the single simple parameter, strong annotations, and no output schema, the description covers the essential return content and an important security consideration. It could be more complete by explicitly stating what the id refers to and what shape the returned record takes, but these are minor gaps for a read-only lookup tool.

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 does not explain the single 'id' parameter. The parameter name is self-evident enough for an identifier, but the description adds no semantic detail about what kind of ID this is, whose ID it accepts, or how it should be formatted beyond maxLength.

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 uses a clear verb ('Read') and specifies the resource (a complete AI Book record) along with substantive components: proposal/contribution, risks, verification plan, evidence hashes, and decision history. It is specific about what the tool exposes, though it does not explicitly differentiate itself from the similarly named sibling get_ai_book.

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?

No guidance is given about when to use this tool versus alternatives such as get_ai_book, list_ai_book_proposals, or list_ai_book_contributions. The description implies a read scenario but provides no exclusions, conditions, or pointer to sibling tools for narrower queries.

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