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MCPGeneration-for-ElevenLabs

MCPGeneration-for-ElevenLabs

generate_speech_stream_with_timestamps

Streams text-to-speech with alignment timestamps and saves audio plus timing metadata separately, enabling captioning or animation sync.

Instructions

Call streaming TTS with the documented alignment response. Audio and timing metadata are saved separately behind paid-operation gates.

Input Schema

NameRequiredDescriptionDefault
textYes
filenameYes
model_idNo
voice_idYes
allow_paidNo
language_codeNo
output_formatNomp3_44100_128
voice_settingsNo
allow_unknown_costNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.2/5.0
Behavior2/5

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

With no annotations provided, the description carries the full behavioral burden and only partially meets it. It states that audio and timing metadata are saved separately and that paid-operation gates exist, but it does not explain streaming behavior, output destinations, permissions, cost implications, or what happens when allow_paid is false.

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

Conciseness4/5

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

The description is short and front-loads the core operation before adding behavioral context. It avoids unnecessary wording, though its brevity contributes to under-specification rather than clarity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a complex tool with 9 parameters, a nested settings object, no annotations, and no output schema. The description is far too thin to make the tool safely invocable, leaving key concerns like paid-operation behavior, file saving semantics, and parameter meaning unexplained.

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

Parameters1/5

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

There are 9 parameters with 0% schema description coverage, including a nested voice_settings object. The description does not explain voice_id, text, filename, model_id, output_format, language_code, voice_settings, allow_paid, or allow_unknown_cost, adding essentially no parameter meaning beyond the bare 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 identifies streaming TTS with alignment/timestamp metadata, which is directionally correct. However, it does not clearly distinguish this tool from close siblings such as generate_speech_stream and generate_speech_with_timestamps, and the phrase 'documented alignment response' is vague.

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?

The description gives no explicit guidance on when to use this tool versus the non-streaming or non-timestamp variants. The mention of 'paid-operation gates' hints at cost controls but does not explain when those gates matter or how they affect tool selection.

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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