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@aiwerk/mcp-server-elevenlabs

by AIWerk

audio_native_project_update_content_endpoint

Update the text or HTML content of an ElevenLabs Studio audio project, with options to auto-convert it to audio and auto-publish the new snapshot.

Instructions

Update Audio-Native Project Content

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathNoEither txt or HTML input file containing the article content. HTML should be formatted as follows '<html><body><div><p>Your content</p><h5>More of your content</h5><p>Some more of your content</p></div></body></html>' Local path
project_idYesThe ID of the Studio project.
file_base64NoBase64 contents for "file". Use this when the server cannot read your local disk.
auto_convertNoWhether to auto convert the project to audio or not.
auto_publishNoWhether to auto publish the new project snapshot after it's converted.
file_filenameNoFilename to send for "file". Some endpoints infer the audio format from it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.1/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, openWorldHint=true, which already tells the agent this is a non-idempotent mutating write. The description adds nothing beyond that baseline: it doesn't disclose that it replaces existing project content, whether auto_convert/auto_publish trigger irreversible conversions or publication, or what side effects occur. With annotations carrying the safety profile, some latitude is allowed, but a bare name is still insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The text is maximally short and front-loaded, so it is not bloated, but the brevity is under-specification rather than genuine conciseness. Every sentence should earn its place, and here the single phrase conveys no information beyond the title.

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?

For a six-parameter mutating endpoint with no output schema, no annotations explaining side effects, and no disclosure of the convert/publish behaviors, the description is materially incomplete. It leaves the agent dependent entirely on the schema and the tool name to understand the operation.

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 every one of the six parameters (file_path, project_id, file_base64, auto_convert, auto_publish, file_filename) is documented in the schema itself. The description adds no parameter context whatsoever, which is acceptable at high coverage but caps value at the baseline 3.

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

Purpose2/5

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

The description 'Update Audio-Native Project Content' only restates the tool name. It says nothing specific about what kind of content is updated, how it's supplied (text/HTML file or base64), or how it differs from siblings like audio_native_update_content_from_url or edit_project_content. It is effectively a tautology of the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of the alternative audio_native_update_content_from_url (which updates content from a URL rather than a local file), and no prerequisites. An agent cannot tell from the description alone which of the two update-content endpoints to call.

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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