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elevenlabs_text_to_voice_preview_stream

Read-onlyIdempotent

Text To Voice Preview Streaming. Stream a voice preview that was created via the /v1/text-to-voice/design endpoint.

Bulk support: accepts generated_voice_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
generated_voice_idYes
generated_voice_idsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations declare readOnlyHint=true, openWorldHint=false, idempotentHint=true, and destructiveHint=false, so the agent knows this never mutates system state Gregor. The description's emphasis on streaming previews from the 'design' endpoint adds context not in annotations — this is a preview-only operation, implying no persistent audio output. It's appropriately aligned.

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?

Two sentences with front-loaded purpose statement. The bulk support is a single sentence. No wasted words.

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?

The description is minimal. It identifies the operation (streaming a preview) and bulk support, but given 3 parameters at 0% schema coverage, no output format info, and an agent needing to understand this ElevenLabs flow, it assumes knowledge of '/v1/text-to-voice/design' without explaining required inputs (e.g., what generated_voice_id expects).

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 0% schema coverage, the description needs to explain parameters but only mentions generated_voice_id and generated_voice_ids in passing ('Stream a voice preview that was created via the design endpoint'). The 'account' parameter is completely unexplained. Likely sibling of text-to-voice with similar parameter conventions, but this description doesn't document any parameter semantics.

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 title repeats the tool name, but the description clarifies by specifying it streams a voice preview created via the 'text-to-voice/design' endpointhun and mentions batch support. It clearly distinguishes this tool as the streaming variant within a large sibling family of ElevenLabs tools.

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?

The description states the tool streams a preview from the design endpoint, clarifying both action and scope. It also notes batched execution via generated_voice_ids. However, it doesn't mention when streaming is preferable over non-streaming alternatives or detail usage patterns.

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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