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analyze_youtube

Extract audio features (BPM, key, energy), metadata, synced lyrics, and spectrogram from a YouTube URL. Processes audio locally for reliable access.

Instructions

Full audio perception: downloads from YouTube, analyzes audio features (BPM, key, energy), extracts metadata (title, artist), fetches synced lyrics, and generates spectrogram visualization. Runs locally to bypass datacenter IP blocking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesYouTube URL to analyze
Behavior4/5

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

With no annotations, the description carries the transparency burden and does well by enumerating the full behavior: downloads, analyzes, extracts, fetches, generates, and runs locally. It could add side-effect details such as local file storage or cleanup behavior, but the main behavioral traits are disclosed clearly.

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 two sentences, front-loaded with the tool's capabilities and followed by a useful rationale for its local execution. Every phrase adds meaningful information with no repetition or filler.

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 single-parameter tool with no output schema, the description gives a rich sense of what the tool does and produces: audio features, metadata, lyrics, and a spectrogram. It lacks explicit error/edge-case guidance and exact output formats, but these are secondary when the tool's operation and outputs are clearly listed.

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?

The input schema already fully describes the only parameter with 'YouTube URL to analyze' at 100% schema description coverage. The description adds domain context by mentioning YouTube downloads, but it does not need to add much for a single, self-explanatory parameter.

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 uses a specific verb and resource: it analyzes YouTube audio, with concrete outputs (BPM, key, energy, title, artist, synced lyrics, spectrogram). It clearly differentiates itself from the sibling download_audio, get_lyrics, and search_lyrics tools by presenting itself as a full combined pipeline.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to choose this tool, especially the statement 'Runs locally to bypass datacenter IP blocking.' It does not explicitly list exclusions or alternatives like using download_audio for audio-only needs, but the integrated nature of the tool is evident.

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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