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NovaLux12

SpotifyMCP

by NovaLux12
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

get_saved_episodes

Retrieve podcast episodes saved in your Spotify library. Use fetch_all to pull the complete collection, with results capped by max_results for efficient output.

Instructions

Get podcast episodes saved in the user's library. Set fetch_all=true to retrieve the entire collection. Output is capped by max_results (default: SPOTIFY_MCP_MAX_ITEMS).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo1–50. Default: 20
marketNoISO 3166-1 alpha-2 country code, e.g. 'US'
offsetNoPagination offset. Default: 0
fetch_allNoFetch all pages instead of one page (ignores limit/offset)
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

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.28.0
    • changedInput schema / properties / market / description
      Previous value: -"ISO 3166-1 alpha-2 country code"New value: +"ISO 3166-1 alpha-2 country code, e.g. 'US'"
    • addedInput schema / properties / market / pattern
      Added value: +"^[A-Za-z]{2}$"
  2. Changed5 schema fields changedv1.26.1
    • removedInput schema / additionalProperties
      Removed value: -false
    • changedInput schema / properties / fetch_all / description
      Previous value: -"Fetch all pages instead of one page (ignores limit/offset; capped at 500 items)"New value: +"Fetch all pages instead of one page (ignores limit/offset)"
    • addedInput schema / properties / max_results
      Added value: +{
+  "description": "Max items to return (default: SPOTIFY_MCP_MAX_ITEMS env or 50)",
+  "exclusiveMinimum": 0,
+  "maximum": 2000,
+  "type": "integer"
+}
    • addedInput schema / properties / offset / maximum
      Added value: +9007199254740991
    • addedInput schema / properties / response_format
      Added value: +{
+  "default": "concise",
+  "description": "'concise' = human prose, 'detailed' = more fields in prose, 'json' = raw API object",
+  "enum": [
+    "concise",
+    "detailed",
+    "json"
+  ],
+  "type": "string"
+}
  3. First observedv1.0.1

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It does add useful operational detail about fetch_all retrieving the entire collection and output being capped by max_results. However, it does not describe the return format, whether results have any ordering, or what happens when limits are exceeded, so some behavioral context is missing.

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?

Two sentences, no filler, with the core purpose front-loaded. Every sentence adds operational value: the first states what the tool returns, the second explains the important fetch-all and output-cap behaviors.

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 zero-required-parameter read-only tool, the description plus the fully-covered schema is nearly sufficient. It explains the two most unusual behaviors (fetch_all and max_results), and the schema documents limit, offset, market, and response_format. It would be more complete with a note about the return shape, but nothing essential to invoking it correctly is missing.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds value beyond the schema by explaining the behavior of fetch_all ('retrieve the entire collection') and the meaning of max_results ('output is capped...'). This helps the agent reason about pagination and result sizing.

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 uses a specific verb and resource: 'Get podcast episodes saved in the user's library.' This clearly distinguishes it from sibling tools like search_saved_episodes and get_saved_shows, even without naming them, by stating exactly what is returned.

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 for when this tool is appropriate: retrieving saved podcast episodes from the user's library. It also gives practical usage guidance on fetch_all for the full collection and max_results as a cap. It does not explicitly mention alternatives or exclusions, but the use case is unambiguous.

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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