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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the agent knows this is a safe, repeatable read operation. The description adds minimal behavioral context—it notes that availability counts are optional—but does not reveal any additional side effects, rate limits, or data-return nuances beyond what the annotations already convey.

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, dense sentence that front-loads the core purpose and then lists details. It is efficient and every clause contributes useful information, though the enumeration could be slightly more scannable with separators or short bullets. It avoids redundancy and stays focused.

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?

With no output schema, the description does a good job of indicating what the tool returns by enumerating the metadata categories and structure. It covers the main aspects an agent would need to decide whether to call it, though it does not mention error behavior or what happens for unknown titles. Given the simple parameter set and read-only nature, this is sufficient.

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 100%, so the baseline is 3. The description adds value beyond the schema by clarifying the meaning of include_structure with examples like Chapter/Verse and Daf/Line, and by tying include_availability to 'text availability counts.' It also enriches the notion of alternate structures with parshiyot for Torah books, which is not in the schema.

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 returns metadata for a book and enumerates the specific fields: author(s), era, composition date and place, description, categories, alternative titles, section structure, chapter lengths, alternate structures, and optional availability counts. This distinguishes it from siblings like get_text (which returns content) or list_book_titles (which returns only titles).

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 such as get_book_raw_index, get_text, or list_book_titles. It does not state exclusions, prerequisites, or a decision rule. The usage context is only implied by the tool's name and the metadata focus.

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