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get_several_episodes

Fetch complete details for up to 50 podcast episodes by ID in a single request, reducing API calls and simplifying batch data retrieval.

Instructions

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idsYesSpotify episodes 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
Behavior2/5

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

No annotations are provided, so the description bears the full burden. It discloses the batch limit but omits other behavioral traits: it does not state whether the operation is read-only (though implied by 'Get'), how it handles partial failures (e.g., invalid IDs), rate limits, or what 'full details' includes. It also does not mention that longer ID lists are chunked, which is only in the schema description.

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?

The description is a single, compact sentence that front-loads the core action and batch limit. It is efficient and without fluff, though it could incorporate more guidance without becoming verbose. It earns its place but is slightly under-specified for a tool with multiple parameters and no output schema.

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

Completeness2/5

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

With no output schema and no annotations, the description must compensate. It does not explain the response_format parameter (how to get concise vs. detailed vs. JSON), the max_results behavior, or error handling for batch requests (e.g., partial failures). An agent calling this tool would lack crucial context on what to expect.

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 has a description. The tool description only repeats the 'up to 50' limit already present in the ids parameter. It adds no new meaning beyond the schema, so it meets the baseline for high coverage without enhancing understanding.

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 clearly states the action ('Get full details'), the resource ('podcast episodes by ID'), and the batch nature ('several', 'in a single call'). It also specifies the limit (up to 50), which distinguishes it from singular get_episode and other episode listing tools. The purpose is unambiguous.

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 description implies usage for batch retrieval (via 'single call') but does not explicitly state when to choose this over alternatives like calling get_episode repeatedly or using get_show_episodes. There is no mention of 'use this when you need multiple episodes' or exclusions. The context is implied, not explicit.

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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