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MaskwaSam

lmstudio-connectors

by MaskwaSam

yt_subtitles

Download YouTube video subtitles and transcripts, with options for auto-generated captions, preferred languages, and character limits.

Instructions

Download subtitles/transcripts when yt-dlp can access them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes
autoNo
languagesNo
max_charsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description bears full responsibility. It only mentions a conditional accessibility constraint ('when yt-dlp can access them') but does not disclose output behavior, failure handling, or whether it writes files. This is insufficient for a tool with no safety hints.

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 a single concise sentence with no filler words. It immediately communicates the core purpose. Structure is optimal for brevity.

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?

With 4 parameters and no parameter documentation, the description is far from complete. Although an output schema exists, the input parameters remain unexplained, and the tool's usage context is minimal. This level of completeness is inadequate for reliable agent invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% coverage (no parameter descriptions), and the tool description provides no explanation of the url, auto, languages, or max_chars parameters. The agent must infer their meaning, which is a significant gap.

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 downloads subtitles/transcripts, using a specific verb (Download) and resource (subtitles/transcripts). It distinguishes from sibling tools like yt_download (video download) and yt_info (metadata).

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 phrase 'when yt-dlp can access them' is a limitation, not a usage guideline. No exclusions or alternative tool references are given.

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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