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of3y
by of3y

get_enhanced_video_metadata

Extract comprehensive YouTube video metadata from a URL with an enhanced pipeline. Get title, description, and other details for analysis.

Instructions

Get comprehensive video metadata using enhanced extraction pipeline.

Args: video_url: YouTube video URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
video_urlYes
Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. The only behavioral claim is 'enhanced extraction pipeline,' which hints at a more involved process but does not explain potential side effects, rate limits, failure modes, or whether it requires authentication. As a 'get' operation, it is presumably safe, but the description lacks any explicit transparency about what happens under the hood.

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?

The description is concise, consisting of a single line and an 'Args' section, with no redundant filler. It is front-loaded with the core purpose. The 'Args' section adds useful parameter context, though it is slightly under-specified for a tool with no schema descriptions. Overall, it earns a high score for brevity, though not a 5 due to the lack of behavioral or usage detail.

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?

The tool has no output schema, so the description should explain what metadata is returned. Saying 'comprehensive video metadata' is too vague to guide an agent on expected return values. It also lacks any context about when this tool is relevant or how it differs from simpler metadata retrieval. Given the simple 1-parameter schema, the description is incomplete and leaves significant ambiguity.

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 0%, so the description must compensate. The description adds the crucial context that video_url is a 'YouTube video URL,' which the schema does not provide. However, it does not elaborate on URL format, optional parameters, or any constraints, so it only minimally meets the compensation requirement.

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 tool's function: 'Get comprehensive video metadata using enhanced extraction pipeline.' It specifies a clear verb (Get) and resource (video metadata) and is distinguishable from sibling tools which all relate to transcripts. However, the term 'comprehensive' is vague and does not specify exactly what metadata fields are included, preventing a 5.

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?

No guidance is provided on when to use this tool versus alternatives. The sibling tools are all transcript-related, so the implicit context is that this tool is for metadata, but no explicit use cases, prerequisites, or alternatives are mentioned. The description does not explain when this tool is preferred over a simpler metadata tool or any other scenario.

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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