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social-media-video-downloader

Search Playlists

get_youtube_v3_search_playlist

Searches for playlists on YouTube. Group: YouTube-Search. Billing per call: 1 Credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoLanguage code for localized content.
queryYesThe search query.
sortByNoDEPRECATED: The sort order for search results. Please use 'prioritize' and 'uploadDate' instead. Allowed values: relevance, rating, upload_date, view_count.relevance
durationNoFilter results by video duration.all
featuresNoA comma-separated list of video features to filter by. Allowed values: 360, 3d, 4k, creative_commons, hd, hdr, live, location, purchased, subtitles, vr180.
nextTokenNoA token for paginating to the next set of results.
prioritizeNoPrioritize results by relevance or popularity.relevance
uploadDateNoFilter results by upload date.all

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

B3/5.0
Behavior2/5

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

No annotations are provided, so the description must bear the burden of behavioral disclosure. The description only says 'Searches for playlists' and mentions billing, but does not explicitly state that it is a read-only operation, any required authentication, or potential side effects. The name implies read-only, but transparency is minimal.

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

Conciseness3/5

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

The description is concise at one sentence, but it includes irrelevant metadata like 'Group: YouTube-Search' and 'Billing per call: 1 Credits' which do not aid the agent in selection or invocation. The core purpose is stated first, but the extra info adds noise without value.

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 8 parameters and no output schema, the description provides minimal context beyond the schema. It does not explain pagination behavior, result ordering nuances, or any edge cases. The description lacks sufficient guidance for a tool with this complexity, especially given the absence of annotations.

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?

The input schema covers 100% of the 8 parameters with descriptions, so the description does not need to add parameter-level detail. The schema already explains each field, including enums and deprecation notes, providing sufficient semantics.

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 that the tool searches for playlists on YouTube, which is specific and distinguishes it from sibling tools like get_youtube_v3_search_video or get_youtube_v3_search_channel. The verb 'searches' and resource 'playlists' are unambiguous.

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?

The description provides no guidance on when to use this tool versus alternatives. While the name suggests it is for playlists specifically, there is no explicit mention of exclusions or comparisons with other search tools, such as get_youtube_v3_search for general search.

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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