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audible_products

Retrieve up to 50 Audible audiobook details in one request using comma-separated ASINs. Returns normalized product data from public catalog, omitting unrecognized ASINs.

Instructions

Get multiple Audible audiobooks in one call. Returns normalized Audible audiobooks for up to 50 ASINs in a single request — the same fields as GET /audible/product/{asin}. Unrecognized ASINs are silently omitted rather than failing the whole batch. Credential-free public catalog data from api.audible.com.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asinsYesComma-separated Audible ASINs, up to 50
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and it delivers substantially: it discloses partial-success semantics ('Unrecognized ASINs are silently omitted rather than failing the whole batch'), the 50-item cap, credential-free access, and the data source. The only gaps are edge-case behavior for over-50 input and overall request error semantics, which keeps it from a 5.

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?

Three sentences with zero waste: purpose in sentence one, scope and field-parity in sentence two, and partial-failure/authuthentication in sentence three. Every clause earns its place, and the most decision-relevant constraints (batch cap, field parity) are front-loaded.

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

Completeness4/5

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

For a single-parameter tool with no output schema and no annotations, the description covers the essentials: what it returns, how many, what happens on unrecognized ASINs, and whether credentials are needed. It is complete enough for an agent to invoke correctly, though it leaves over-cap and error semantics unspecified, which is minor for a batch-read tool.

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 description coverage is 100%, and the schema already documents the single parameter precisely as 'Comma-separated Audible ASINs, up to 50'. The prose repeats the cap but adds no new parameter semantics beyond what the schema provides, so the high-coverage baseline of 3 is correct.

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?

The description opens with a specific verb and resource: 'Get multiple Audible audiobooks in one call,' and then sharpens it with the 50-ASIN batch cap and partial-failure behavior. The explicit reference to 'the same fields as GET /audible/product/{asin}' clearly positions this as the batch counterpart to the singular sibling tool, so an agent can distinguish it from audible_product without opening schemas.

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?

The description provides clear context that this is the batched variant of the singular product endpoint ('in a single request — the same fields as GET /audible/product/{asin}'), which implicitly tells an agent to choose this when multiple ASINs are needed. It stops short of an explicit when-not-to-use rule or named alternative decision ('use audible_product for a single ASIN'), so it earns a 4 rather than a 5.

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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