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get_video_details

Retrieve comprehensive metadata for YouTube videos, including titles, descriptions, statistics, and content details, to analyze video information and performance data.

Instructions

Get detailed metadata for one or more videos. Costs 1 quota unit.

Args: video_ids: Comma-separated video IDs (up to 50)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
video_idsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It adds useful context about quota costs (1 unit) and batch limits (up to 50 videos), which aren't in the schema. However, it lacks details on permissions, error handling, or response format, leaving gaps for a read operation.

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 efficiently structured with a clear purpose statement followed by an 'Args' section, using minimal sentences that each add value. There's no redundant information, making it easy to parse and understand quickly.

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's low complexity (1 parameter) and the presence of an output schema, the description is reasonably complete. It covers the core functionality and parameter usage, though it could benefit from more behavioral context like authentication needs or error cases, which aren't fully addressed.

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?

The schema description coverage is 0%, so the description must compensate. It explains 'video_ids' as 'comma-separated video IDs (up to 50)', adding crucial semantics beyond the schema's basic type. This covers the single parameter well, though it doesn't specify ID format or examples.

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 clearly states the verb 'Get' and resource 'detailed metadata for one or more videos', making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_video_analytics' or 'search_videos', which might also retrieve video information but with different scopes or data types.

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, such as 'get_video_analytics' for performance data or 'search_videos' for discovery. It mentions a quota cost but doesn't specify prerequisites, contexts, or exclusions for usage.

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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