Skip to main content
Glama

audio_effects

Apply a chain of audio effects like reverb, lowpass, normalize, and fade to a WAV file. Choose effect types and parameters to customize audio processing.

Instructions

Apply audio effects chain to a WAV file.

Process audio through a chain of effects like reverb, filtering, normalization.

Args: input_path: Absolute path to input WAV file. output_path: Absolute path for output WAV file. effects: List of effect configs with: - type: "lowpass", "reverb", "normalize", "fade" - Additional params per effect type

Returns: Dict with success status and output_path.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_pathYes
output_pathYes
effectsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations exist, so description carries full burden. It discloses processing a chain but omits behavioral traits like destructive nature (overwriting output), file size limits, sample rate requirements, or permission needs. Only basic processing is mentioned.

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?

Description is concise with a clear structure: one-line summary, brief explanation, Args/Returns section. No redundant sentences, but could be slightly more compact.

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

Completeness3/5

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

Given no annotations and moderate complexity, the description covers basic function but lacks details on effect parameter constraints, file format restrictions, and return format. Output schema exists but is not described; description mentions success dict.

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 coverage is 0%, so description must compensate. It specifies input/output paths as absolute paths and describes effects as a list with type and additional params, giving examples. However, it does not detail the additional params per effect type.

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 it applies an audio effects chain to a WAV file, listing specific effects like reverb, filtering, and normalization. It distinguishes from sibling tools like audio_preset and audio_sequence by focusing on custom effect chains.

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

Usage Guidelines3/5

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

The description implies use for applying multiple effects but lacks explicit guidance on when to use vs alternatives like audio_preset or when not to use. No exclusions or context provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/KyaniteLabs/mcp-video'

If you have feedback or need assistance with the MCP directory API, please join our Discord server