transcribe_audio_file
Transcribe a local audio file (MP3/WAV/etc) to text using faster-whisper via Python. Deterministic, no network.
This record as markdown: /tools/io-github-homenshum-nodebench/transcribe-audio-file.md
What transcribe_audio_file does on Nodebench
AI agents invoke transcribe_audio_file to trigger actions in Nodebench. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why transcribe_audio_file is rated High
The tool executes a Python process (faster-whisper) to process a local file. While the primary output is a text transcription (read-like), it runs external code/scripts on local files, placing it in the Execute category. Misuse could involve processing sensitive audio files or consuming significant compute resources.
From the tool's definition Transcribe a local audio file (MP3/WAV/etc) to text using faster-whisper via Python
Attacks that exploit this kind of access
The rule that runs transcribe_audio_file safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Nodebench, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For transcribe_audio_file, this is the rule to start with:
transcribe_audio_file stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Nodebench, apply this rule, and every transcribe_audio_file call is checked against it from then on.
Questions about transcribe_audio_file
Transcribe a local audio file (MP3/WAV/etc) to text using faster-whisper via Python. Deterministic, no network. It is categorised as a Execute tool in the Nodebench MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Nodebench MCP server in PolicyLayer and add a rule for transcribe_audio_file: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Nodebench. Nothing to install.
transcribe_audio_file is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the transcribe_audio_file rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for transcribe_audio_file. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
transcribe_audio_file is provided by the Nodebench MCP server (nodebench-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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