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kie_generate_audio

Generate AI text-to-speech audio from any text. Select from available voices, adjust speed and stability, and save the output as an audio file for your projects.

Instructions

Generate audio (text-to-speech) using AI models via kie.ai

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to convert to speech
modelNoModel ID for audio generationelevenlabs/text-to-speech-turbo-2-5
speedNoSpeech speed multiplier
voiceNoVoice name to useRachel
filenameNoCustom filename (without extension)
stabilityNoVoice stability (0.0 - 1.0)
output_dirNoOutput directory./audio
language_codeNoLanguage code (e.g. 'en', 'de')
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Generate audio (text-to-speech)' without mentioning output behavior (e.g., saving a file, returning a task ID), side effects, or any requirements. The description gives no information about what happens after the call.

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 sentence, front-loaded with the core purpose, and contains no redundant or filler content. Every word contributes to the meaning.

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

Completeness2/5

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

The tool has 8 parameters and no output schema, yet the description provides minimal context. It does not explain what the tool returns, whether it works asynchronously (e.g., requires kie_check_task), or any other operational details needed for correct invocation. The description alone is insufficient for an agent to fully understand the tool's behavior.

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 description coverage is 100%, with every parameter documented in the input schema. The description adds no additional parameter meaning beyond the schema, so the baseline 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 generates audio via text-to-speech, with a specific verb ('Generate'), resource ('audio'), and method ('text-to-speech'). This distinguishes it from sibling tools like kie_generate_image and kie_generate_video.

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 implies when to use the tool (when audio generation is needed) and the sibling context makes the intended use clear. However, it does not explicitly state when not to use it or mention alternative tools, so it falls short of a 5.

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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