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aigentive
by aigentive

validate_youtube_url

Checks and normalizes YouTube URLs or IDs to ensure they are valid and properly formatted.

Instructions

Validate and normalize YouTube URLs/IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must fully disclose behavior. It only states validation and normalization but does not explain what normalization entails, whether the tool is read-only, error handling, or any side effects.

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?

Single sentence, front-loaded with action verbs, no wasted words. Slightly terse but efficient for the tool's simplicity.

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?

Given the existence of an output schema, the description does not need to detail returns, but it lacks guidance on typical usage patterns like pre-validation for other tools. Incomplete for a validation tool that would benefit from explaining what the normalized output looks like.

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%. The description adds that the input can be a YouTube URL or ID, which is not explicit in the schema (only parameter name 'url'). However, it does not specify expected formats or constraints, so it only marginally compensates.

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 the tool validates and normalizes YouTube URLs/IDs, with a specific verb and resource. It differentiates from sibling tools like analyze_youtube_video, which focuses on analysis rather than validation.

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 on when to use this tool versus alternatives, such as before calling analyze_youtube_video. No context on prerequisites or scenarios where validation is needed.

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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