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Jithox EU business checks

transcribe_and_slice_audio

Read-onlyIdempotent

Voice-to-action: download or accept an audio recording, split it into frame-aligned MP3 chunks, and transcribe it to text via an AI speech endpoint — so a user can dictate a task instead of typing. Bounded: 5s download timeout, 25MB cap, chunk-capped. Read-only; runs without approval.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
audioUrlNoPublic https URL of the audio file (mp3/m4a/wav). One source required.
languageNoOptional ISO-639-1 hint (e.g. "nl", "en", "fr").
audioBase64NoBase64 audio payload (with or without a data: prefix). One source required.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive. The description adds concrete bounds: 5s download timeout, 25MB cap, chunk-capped, and the note that it runs without approval. This provides risk-related context beyond the annotations. It does not contradict any annotation and adds useful operational limits.

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?

The description is a single sentence but well-structured, front-loading the core purpose and then adding bounds. It avoids fluff and every clause earns its place. It's concise yet informative. It could arguably be split into two sentences for readability, but it remains clear and efficient.

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 that downloads, slices, and transcribes, the description covers the main behavior and constraints. It mentions the output is text, so that's clear. It doesn't describe the exact output format (e.g., whether it returns a transcript file or plain text), but given the absence of an output schema and the simplicity of the tool, this is sufficiently complete. The absence of explicit failure handling (e.g., what happens on timeout) is a minor gap, but the bounds are stated.

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 100% – all three parameters are described in the schema. The description adds the clarification that exactly one source (audioUrl or audioBase64) is required, which is not enforced by the schema (required: 0). This helps resolve ambiguity. However, it doesn't add any new details about language parameter or behavior beyond what the schema says. Relative to the baseline of 3, this is adequate.

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: download or accept audio, slice into MP3 chunks, and transcribe via AI. It uses a specific verb sequence and resource (audio), and it notably distinguishes itself from the sibling tools, none of which perform transcription or audio processing. The description is concrete and action-oriented.

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 usage context by framing it as 'voice-to-action' and for users who want to dictate a task. It doesn't explicitly mention alternative tools, but given the sibling list, none are natural alternatives, so exclusions aren't necessary. However, it lacks explicit guidance on when not to use this tool (e.g., if the audio is too large, but it does mention the 25MB cap, which is implicit). Overall, the context is clear but could benefit from a direct statement of when to avoid it.

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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