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ThermalEng

mcp-multimedia-server

by ThermalEng

analyze_audio

Transcribe or summarize audio from local paths, URLs, or base64. Provide an optional prompt for specific questions, or get automatic transcription and summary.

Instructions

音频理解/STT:转录或总结一段音频内容。推荐用本地文件或 base64(URL 音频可能不被识别)。不传 prompt 默认转录并总结主旨。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
audioYes音频,支持:本地文件路径 / http(s) URL / base64(data URI)。推荐用本地文件或 base64(URL 音频可能不被识别)。最大 50MB,格式 mp3/wav/flac/m4a/ogg
promptNo自由指令/问题,如'转录这段语音';不传则默认转录并总结主旨
max_tokensNo可选,本次生成上限(默认 131072)
temperatureNo可选,采样温度
Behavior4/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It reveals a key limitation (URL audio may not be recognized) and the default behavior (transcribe and summarize without a prompt), which adds valuable transparency. It could mention output format or failure modes, but the disclosed traits are useful.

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 concise sentence that front-loads the core purpose and then adds two key usage notes. No word is wasted, and it is efficiently structured for quick comprehension.

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 no output schema and moderate parameter complexity, the description covers the main purpose, input recommendations, and default behavior. It does not elaborate on output structure or edge cases, but it is sufficiently complete for the tool's simplicity, especially given the rich schema descriptions.

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%, so the baseline is 3. The description adds little beyond the schema: the prompt default behavior and audio format recommendations are already present in the schema descriptions. Thus, it does not significantly enhance parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function ('transcribe or summarize audio content') and mentions 'audio understanding/STT', which specifies the resource and action. However, it does not explicitly distinguish itself from the sibling tool 'asr', which likely also handles speech-to-text, so it only partially differentiates.

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?

Provides practical guidance by recommending local files or base64 over URLs, and explains the default behavior when no prompt is given. This gives clear context for use, though it does not explicitly mention when to choose this tool over alternatives like 'asr'.

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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