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youtube_user

Fetch public channel details by username or browse id: description, links, and metadata. Passing username resolves the browse id internally (3 credits); browse_id alone is 2 credits.. Platform=youtube resource=user. Costs 2 credit(s). Requires Authorization: Bearer <api_key>.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameNoChannel handle without @. Resolved to browse_id internally.
browse_idNoChannel id (UC…). Use when already known.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose credit cost, the cheaper browse_id path, and the auth requirement (Authorization: Bearer <api_key>). It says nothing about rate limits, failure behavior when a username does not resolve, or whether the data is cached/public-only beyond the word 'public'.

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?

Front-loaded and short, but it repeats cost information ('3 credits / 2 credits' then 'Costs 2 credit(s)'), contains boilerplate 'Platform=youtube resource=user', and ends with a stray double period. The boilerplate and duplication dilute an otherwise tight description.

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 simple read endpoint with no output schema and no annotations, the description covers the operation, both input modes, cost, and auth. Only the shape of the returned metadata and error conditions are left unstated.

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 3 is the baseline, but the description adds genuine meaning the schema lacks: the credit differential between username (3) and browse_id (2) and the internal resolution step. That is useful decision information beyond the parameter docs.

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?

States a specific verb and resource ('Fetch public channel details by username or browse id') and names the returned payload ('description, links, and metadata'). It is clearly distinct from youtube_videos, youtube_comments and youtube_subscribers, though it never explicitly says which sibling to prefer.

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?

It gives real guidance for choosing between the two input modes (username resolves internally at 3 credits vs browse_id at 2), but offers nothing on when to use this tool versus youtube_subscribers, youtube_search or the other youtube siblings. Usage context is implied rather than stated.

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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