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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

create_podcast

Create a podcast audio from provided text or a URL, supporting conversation and bulletin formats with a selected model.

Instructions

Create Podcast Spends ElevenLabs credits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYesThe type of podcast to generate. Can be 'conversation', an interaction between two voices, or 'bulletin', a monologue.
introNo
outroNo
sourceYesThe source content for the Podcast.
languageNo
model_idYesThe ID of the model to be used for this Studio project, you can query GET /v1/models to list all available models.
highlightsNo
callback_urlNo
duration_scaleNoDuration of the generated podcast. Must be one of: short - produces podcasts shorter than 3 minutes. default - produces podcasts roughly between 3-7 minutes. long - produces podcasts longer than 7 minutes.
quality_presetNo
safety-identifierNoUsed for moderation. Your workspace must be allowlisted to use this feature.
instructions_promptNo
apply_text_normalizationNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior3/5

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

Annotations already declare this is a non-readonly, non-idempotent, open-world write, so the safety profile is covered. The description adds one genuinely useful behavioral fact — that the call consumes ElevenLabs credits — but omits key traits such as async/callback behavior (callback_url exists), moderation allowlisting, or long-running generation.

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?

It is a single short line, so nothing is wasted, but it reads as a run-on fragment ('Create Podcast Spends ElevenLabs credits') with no punctuation separating the action from the cost note. The brevity is a symptom of under-specification rather than disciplined economy.

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 13-parameter, nested-object, credit-consuming generation tool with no output schema and only 38% schema coverage, this description is far too thin. It should at minimum explain the mode/source requirement and the callback flow, none of which appear.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 13 parameters and only 38% schema description coverage, the description needs to compensate for undocumented fields like intro, outro, language, instructions_prompt, and callback_url. It provides zero parameter semantics, leaving several required and optional inputs unexplained in both the description and schema.

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

Purpose3/5

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

The description conveys a verb+resource ('Create Podcast'), matching the tool name, but adds nothing to differentiate it from siblings like create_audio_native_project or create_video_generation. The only non-obvious content is the credit-spend note, leaving the core purpose essentially a restatement 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 Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives, no prerequisites mentioned, and no indication of required inputs. The credit-cost sentence hints at a gating factor but does not tell the agent when to prefer this tool over other content-creation siblings.

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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