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TheLlamainator

After Effects MCP Server

analyze-audio-waveform

Extract waveform amplitude data from WAV files and detect peaks or transients for audio-driven animations.

Instructions

Analyze a WAV audio file to extract waveform amplitude data and detect peaks/transients. First call get-audio-info to retrieve the sourceFilePath, then pass it here. Returns normalized amplitude values (0-1) at evenly spaced time intervals plus an array of peak times where transients are detected.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filePathYesAbsolute path to the WAV audio file (obtained from get-audio-info sourceFilePath).
numPointsNoNumber of amplitude samples to return (default: 200). Higher = more detail.
Behavior3/5

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

No annotations are present, so the description carries full burden. It discloses the output format (normalized amplitudes, peak times) but does not address error conditions, permissions, or destructive potential.

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 three sentences with no wasted words: first sentence states purpose, second gives usage guidance, third describes output. Front-loaded and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description fully explains return values. Input, prerequisite, and functionality are covered, making it complete for an AI agent to use correctly.

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?

Schema coverage is 100% with each parameter described. The description adds context by specifying that filePath comes from get-audio-info and that numPoints defaults to 200 with higher values providing more detail, enhancing understanding beyond the schema.

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 specific verbs like 'Analyze' and 'extract' along with the resource 'WAV audio file', and distinguishes from sibling tools like 'get-audio-info' by detailing the extraction of waveform amplitude and peak detection.

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 explicitly states the prerequisite of calling 'get-audio-info' first to obtain the 'sourceFilePath', providing clear sequential guidance. However, it does not mention when to avoid this tool (e.g., non-WAV formats) or alternative tools.

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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