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

With no annotations, the description carries the full behavioral burden. It helpfully discloses the return contents (names plus first-chapter link), but says nothing about read-only safety, ordering, pagination, or result size limits. Adequate but thin for a zero-annotation tool.

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?

Two sentences, no filler, with the resource and its payload front-loaded and the usage instruction second. 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?

With no output schema, the description correctly compensates by naming the returned fields and the downstream purpose. It omits any note on result size, ordering, or whether the list is exhaustive versus paginated, which is the only remaining gap.

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%, with the single optional 'language' enum parameter fully documented in the schema (ISO code, default 'en'). The description adds no parameter-level meaning beyond that, so the baseline 3 applies.

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?

States a specific verb and resource ('List every book available in this corpus') and enumerates exactly what each entry contains (English name, localized name, first-chapter link). The mention of get_chapter / get_verse makes it distinguishable from sibling list tools like list_subjects and browse_subject.

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?

'Call this to discover valid book names for get_chapter / get_verse' gives explicit usage context and routes the agent to the downstream tools that consume this output. It does not state when *not* to use it or how it relates to list_subjects/browse_subject, so it falls just short of fully explicit alternative guidance.

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