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Crawlora MCP

spotify_podcasts_search

Read-only

Returns normalized Spotify podcast shows, episodes, and top results for a search term.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoResult limit per section, clamped to 1-50, default 30.
offsetNoSearch offset, default 0.
searchTermNoSpotify podcast search term (required).
includeAuthorsNoInclude author results when true.
includeAudiobooksNoInclude audiobook results when true.
includePreReleasesNoInclude pre-release results when true.
numberOfTopResultsNoTop result limit, clamped to 1-50, default 5.
includeAlbumPreReleasesNoInclude album pre-release results when true.
includeEpisodeContentRatingsV2NoInclude Spotify episode content ratings v2 when true.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety and open-world profile. The description adds that results are 'normalized' and come back in multiple sections (shows, episodes, top results), which is useful, but it does not elaborate on rate limits, pagination, or auth. With annotations carrying the safety burden and an output schema present, a 3 is appropriate.

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 wasted words. It is efficient, though arguably too terse for a 9-parameter tool with multiple overlapping siblings, which slightly limits its usefulness despite the tidy structure.

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 output schema means return values need not be explained, and annotations cover the safety profile, so the core is covered. However, for a 9-parameter search tool sitting among several near-identical siblings, the description omits routing guidance and any behavioral nuance, leaving a clear contextual gap.

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%, so all nine parameters (limit, offset, searchTerm, include* flags, numberOfTopResults) are already documented with clamping and defaults in the schema. The description adds no parameter-level detail beyond what the schema provides, so the baseline 3 applies.

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 names a specific verb ('Returns'/'search'), resource ('Spotify podcast shows, episodes, and top results'), and scope ('for a search term'), so the agent knows what it does. However, it does not differentiate from closely related siblings like spotify_episodes_search, spotify_shows_search, or spotify_podcasts_show, leaving overlap ambiguous.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus the many adjacent spotify search tools (spotify_episodes_search, spotify_shows_search, spotify_search). No exclusions, prerequisites, or selection criteria are offered, so the agent must infer routing on its own.

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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