audio_native_project_update_content_endpoint
Update Audio-Native Project Content.
This record as markdown: /tools/aiwerk-mcp-server-elevenlabs/audio-native-project-update-content-endpoint.md
What audio_native_project_update_content_endpoint does on Elevenlabs
AI agents use audio_native_project_update_content_endpoint to create or update resources in Elevenlabs, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Elevenlabs environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
file_path | string | — | Either txt or HTML input file containing the article content. HTML should be formatted as follows '<html><body><div><p>Your content</ |
project_id | string | Yes | The ID of the Studio project. |
file_base64 | string | — | Base64 contents for "file". Use this when the server cannot read your local disk. |
auto_convert | boolean | — | Whether to auto convert the project to audio or not. |
auto_publish | boolean | — | Whether to auto publish the new project snapshot after it's converted. |
file_filename | string | — | Filename to send for "file". Some endpoints infer the audio format from it. |
Parameters from the server's own tool schema.
Why audio_native_project_update_content_endpoint is rated Medium
An AI agent can call audio_native_project_update_content_endpoint faster than any human can review: one bad instruction and it creates or modifies resources in Elevenlabs by the hundred, each call as confident as the last.
Risk signalsAccepts file system path (file_path)
Attacks that exploit this kind of access
The rule that runs audio_native_project_update_content_endpoint safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Elevenlabs, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For audio_native_project_update_content_endpoint, this is the rule to start with:
audio_native_project_update_content_endpoint stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Elevenlabs, apply this rule, and every audio_native_project_update_content_endpoint call is checked against it from then on.
Questions about audio_native_project_update_content_endpoint
Update Audio-Native Project Content. It is categorised as a Write tool in the Elevenlabs MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
audio_native_project_update_content_endpoint accepts 6 parameters: file_path, project_id, file_base64, auto_convert, auto_publish, file_filename. Required: project_id. The full parameter table on this page comes from the server's own tool schema.
Register the Elevenlabs MCP server in PolicyLayer and add a rule for audio_native_project_update_content_endpoint: 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 Elevenlabs. Nothing to install.
audio_native_project_update_content_endpoint is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the audio_native_project_update_content_endpoint 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 audio_native_project_update_content_endpoint. 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.
audio_native_project_update_content_endpoint is provided by the Elevenlabs MCP server (@aiwerk/mcp-server-elevenlabs). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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