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agishub

AgisHub MCP Server

Official
by agishub

transcribe

Convert audio from a public URL into text. Supports mp3, wav, m4a, ogg and other formats.

Instructions

Transcribe an audio file (given by public URL) to text. Handles mp3, wav, m4a, ogg and more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
audio_urlYesPublic URL of an audio file (mp3, wav, m4a, ogg, ...) to transcribe to text.
Behavior2/5

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

No annotations are present, so the description must disclose behavioral traits. It only mentions file format support and does not describe output format, potential latency, size limits, or permissions. This is a significant gap for a tool that performs an asynchronous-like operation.

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, front-loaded sentence that conveys the core action and supported formats without redundancy. Every word serves a purpose.

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 tool with one parameter and no output schema, the description provides the essential input requirement (public URL) and output type (text). However, it lacks details about the response format or any restrictions, leaving some ambiguity for the agent.

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 documents the parameter with a description matching the tool's own text. The description adds nothing beyond the schema, so the baseline score of 3 is appropriate.

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's function with a specific verb ('Transcribe') and resource ('audio file'), and notes supported formats. It's easily distinguishable from the unrelated sibling tools.

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 the use case (transcribing audio to text) but doesn't explicitly state when to prefer this tool over alternatives or provide exclusion criteria. Since no sibling tool performs transcription, it's clear by context, but the description itself lacks explicit guidance.

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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