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Search YouTube

youtube_search_list
Read-only

Search YouTube videos, channels, and playlists by free-text keyword (not hashtag — use youtube.search.hashtag.list for that). Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoOptional content type filter for search results.
queryYesSearch query text for YouTube content.
cursorNoOpaque pagination cursor returned by a previous response.
regionNoOptional ISO 3166-1 country code for localized search results.
sortByNoOptional sort order for search results.
durationNoOptional duration filter for video results. Applies to videos, not shorts.
uploadDateNoOptional upload date filter for video results.
includeExtrasNoWhen true, returns richer per-video metadata when available. May increase response time.

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description does not need to restate that. It adds value by noting the pagination behavior ('use cursor when paginated') and the exclusion of hashtag searches, which are useful behavioral details beyond the annotations.

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?

The description is two sentences, front-loading the core action (search by free-text keyword) and then adding the key differentiator and pagination note. There is zero redundancy; every clause serves a purpose.

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?

Given the tool has 8 parameters but full schema coverage, and no output schema, the description adequately covers the main behaviors: search scope, return type, pagination, and the hashtag exclusion. It doesn't elaborate on filters or sort options, but those are well-documented in the schema, so nothing critical is missing for an agent to call it correctly.

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 the schema already documents all parameters including query, type, cursor, etc. The description only reinforces the 'free-text keyword' nature of the query parameter and the cursor usage, but adds no new semantic detail. With full schema coverage, a baseline score of 3 is appropriate.

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 it searches YouTube videos, channels, and playlists by free-text keyword, and explicitly distinguishes itself from hashtag search by naming the sibling tool. It also specifies the return type (a list) and the pagination mechanism, making the tool's purpose unambiguous.

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

Usage Guidelines5/5

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

The description provides an explicit exclusion ('not hashtag') and directs users to the correct alternative (youtube.search.hashtag.list). It also mentions when to use the cursor for pagination, giving clear operational guidance. This fully addresses when to use this tool versus its siblings.

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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TDQS

B3.4/5.0
Disambiguation5/5

Each tool is clearly scoped to a specific platform and action (e.g., facebook_post_get vs instagram_post_get). Descriptions explicitly differentiate similar tools across platforms, and within-a-platform tools like tiktok_search_videos_list vs tiktok_search_hashtag_list have clear disambiguation notes.

Naming Consistency5/5

All 167 tools follow a strict `platform_resource_action` pattern (e.g., youtube_video_comments_list). No mixing of styles—snake_case throughout, with consistent verb ordering (get, list, search, etc.).

Tool Count2/5

The server has 167 tools, which is far beyond the typical well-scoped range of 3-15. While the broad multi-platform scope justifies many tools, this extreme number makes the tool surface overwhelming and difficult for an agent to navigate efficiently.

Completeness4/5

The tool set covers a wide range of platforms and operations including profile retrieval, post/video fetching, comments, search, transcripts, and ad library access. Minor gaps exist (e.g., no Facebook events or LinkedIn messaging), but the surface is comprehensive for a read-only data aggregation use case.