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Boost Audio - Audio Converter

boost_audio_converter

Convert audio files between MP3, WAV, FLAC, OGG and M4A. Use this when the user wants to change the format of an audio file (e.g. WAV to MP3, MP3 to FLAC).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
audio_urlNoOptional public URL to an audio/video file. If omitted, the user uploads the file in the rendered widget.
file_nameNoOriginal file name. Required when audio_base64 is provided.
file_typeNoOriginal mime type. Required when audio_base64 is provided.
file_tokenNoToken for a pre-uploaded large file (>22 MB). Obtained from POST /widget-api/upload-raw. Used instead of audio_base64 for large files.
audio_base64NoOptional base64-encoded audio file payload. Used by the widget when the host iframe blocks CORS fetches.
target_formatNoOutput format. Defaults to mp3.mp3

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false and destructiveHint=false. The description adds no extra behavioral context beyond stating the conversion action, such as output details or large-file handling. It does not contradict 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?

Two concise sentences: the first states the core function, the second gives usage guidance. No wasted words, information is front-loaded.

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?

All six parameters are optional and the schema provides thorough descriptions, handling input ambiguity. The description covers the primary use case but omits what the output looks like; however, this is a minor gap given the schema richness and no output schema requirement.

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 each parameter having a clear description. The tool description adds no parameter-level meaning, so the baseline of 3 applies.

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 converts audio files between specific formats (MP3, WAV, FLAC, OGG, M4A) with explicit examples. This distinguishes it from sibling tools like stem_splitter or vocal_remover.

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 explicitly says 'Use this when the user wants to change the format of an audio file', providing clear context. It does not name alternatives or state when not to use it, but the purpose is narrow enough that the guidance is effective.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool targets a unique audio processing task (e.g., BPM/key detection, format conversion, stem splitting) with no functional overlap, ensuring agents can easily distinguish between them.

Naming Consistency5/5

All tool names follow a strict `boost_audio_verb_noun` pattern in snake_case, providing a predictable and clean naming convention across the entire set.

Tool Count5/5

With exactly 8 tools, the server is well-scoped for an audio processing domain—comprehensive enough to cover key tasks without being overwhelming or sparse.

Completeness4/5

The tools cover essential audio operations (conversion, extraction, generation, splitting, trimming, etc.), but a merging or concatenation tool is missing, leaving a minor gap.

Resources