Skip to main content
Glama
Maheidem

WAHA WhatsApp MCP Server

by Maheidem

Transcribe WhatsApp Audio

whatsapp_transcribe_audio

Transcribe WhatsApp voice messages or audio to text. Optionally reply to the original message with the transcription.

Instructions

Transcribe a WhatsApp voice message or audio to text.

Server-side transcription via Speaches (Whisper). Optionally replies to the original message with the transcription text.

Args:

  • contactId: Phone digits or "*@g.us" — the contact whose chat contains the audio

  • messageId: Message ID of the audio to transcribe

  • replyWithTranscription: If true, sends the transcription as a WhatsApp reply to the audio message (default false)

Returns:

  • transcription: The transcribed text

  • language: Detected language (if available)

  • replyMessageId: ID of the reply message (if replyWithTranscription=true)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contactIdYesPhone digits or "*@g.us" — chat that contains the audio
messageIdYesMessage ID of the audio to transcribe
replyWithTranscriptionNoIf true, sends the transcription as a WhatsApp reply to the audio (default false)
Behavior4/5

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

The description discloses server-side transcription via Speaches/Whisper and the optional reply behavior, which aligns with annotations (readOnlyHint=false, destructiveHint=false). No contradictions, and it provides useful context beyond annotations.

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 concise, front-loaded with the main purpose, and structured with Args/Returns sections. Every sentence adds value, and there is no redundant information.

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?

Given the moderate complexity and full parameter coverage, the description adequately explains the tool's behavior, including optional reply and language detection. It lacks error handling or input validation details, but is otherwise complete.

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%, but the description adds value by clarifying the format for contactId (phone digits or *@g.us) and the default for replyWithTranscription. It enhances understanding beyond the schema descriptions.

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 verb 'Transcribe' and the resource 'WhatsApp audio', specifying it converts voice messages to text. It distinguishes from sibling tools by being the only transcription tool.

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 explains what the tool does but does not explicitly state when to use it or when not to, nor does it mention alternatives. Usage context is implied through parameter descriptions but lacks clear guidance.

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/Maheidem/waha-mcp-server'

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