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get_several_chapters

Retrieve detailed information for multiple audiobook chapters in one API call, eliminating the need for repeated requests. Get up to 50 chapter details per request at once.

Instructions

Get full details for several audiobook chapters by ID in a single call (up to 50 per request)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsYesSpotify chapters IDs (1–50 per request; longer lists are fetched in chunks of 50 and merged)
max_resultsNoMax items to return (default: SPOTIFY_MCP_MAX_ITEMS env or 50)
response_formatNo'concise' = human prose, 'detailed' = more fields in prose, 'json' = raw API objectconcise
Behavior3/5

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

With no annotations provided, the description must carry the behavioral disclosure burden. It clearly indicates a read-only batch lookup and gives a 50-item limit, but it does not describe the response format, chunking/merging behavior, or any surprising behavior. The 'up to 50 per request' phrasing also slightly understates the schema's note that longer lists are fetched in chunks and merged.

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

Conciseness4/5

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

A single, front-loaded sentence with no filler. It communicates the verb, resource, batch aspect, and limit efficiently, though 'several' and 'up to 50' carry slightly overlapping information.

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

Completeness3/5

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

The description is adequate for a simple batch getter when combined with the rich schema, but with no output schema and no annotations, the return value shape and the practical implications of the 'response_format' and 'max_results' parameters are left to inference.

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 each parameter is already documented with meaningful detail ('ids', 'max_results', 'response_format'). The description adds no additional parameter semantics beyond the ID-based lookup already visible in the schema.

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

Purpose4/5

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

The description states a specific verb ('Get'), a specific resource ('audiobook chapters'), and a batch-by-ID scope ('several... by ID in a single call'). It is clear and distinguishable from the single-chapter sibling, though it does not explicitly reference that distinction.

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

Usage Guidelines3/5

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

The phrase 'by ID in a single call' implies the intended use case: fetching multiple specific chapters at once. However, it does not explicitly say when to prefer this over get_chapter or get_audiobook_chapters, nor does it mention any exclusions.

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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