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Glama

Get Audiobook Detail

get_audiobook
Read-onlyIdempotent

Full audiobook detail by author + work slug — title, description, cover, runtime, ISBN, genres, narrator, publisher, and the full table of active offers across retail partners.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
work_slugYesWork slug (lowercase, hyphenated). Example: "to". Combined with author_slug forms the canonical work URL.
author_slugYesAuthor slug (lowercase, hyphenated). Example: "stephen-king". Discoverable via search_audiobooks results.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already set readOnlyHint=true, idempotentHint=true, destructiveHint=false. Description adds return-fields context (e.g., 'full table of active offers'), which is useful beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence clearly front-loads the purpose and enumerates returned fields with minimal waste. Highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With output_schema present and annotations covering safety, the description sufficiently describes the tool's function and output for a simple read endpoint. No significant gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with detailed descriptions for both parameters. Description only reinforces 'author + work slug' without adding new semantics beyond what schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states 'Full audiobook detail by author + work slug' and lists specific fields (title, description, cover, etc.), distinguishing it from siblings like search_audiobooks or compare_all_offers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implies usage when both author_slug and work_slug are known, but does not explicitly state when not to use or mention alternatives. Context from sibling names helps fill gaps.

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

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TDQS

A4.3/5.0
Disambiguation4/5

Most tools have distinct purposes, but `compare_all_offers` and `find_cheapest_offer` overlap in pricing queries. Descriptions clarify the difference (full table vs. cheapest only), so ambiguity is low. Similarly, `search_audiobooks` and `search_by_filters` are distinct in input style.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern in snake_case (e.g., `browse_genres`, `get_audiobook`, `search_by_filters`). No mixing of conventions or irregular naming.

Tool Count5/5

13 tools cover browsing, searching, detailed info, price comparison, analytics, and profiles. The number is well-balanced for the catalog's scope—neither sparse nor excessive.

Completeness4/5

The tool set covers key workflows: discovery, search, details, price comparison, trends, rankings, and partner info. Minor gaps like user reviews or advanced filtering (e.g., partner filter in V2) are acceptable for a focused catalog.

Resources