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MCPGeneration-for-ElevenLabs

MCPGeneration-for-ElevenLabs

generate_speech_with_timestamps

Generate speech audio with synchronized timestamps for precise lip-sync or caption alignment. Saves audio and timing metadata as separate files.

Instructions

Generate speech with the documented alignment response. Audio and timing metadata are saved separately.

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

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses one useful behavioral fact, that audio and timing metadata are written to separate outputs, but omits permission/cost semantics implied by allow_paid and allow_unknown_cost, what the call returns, and how filenames are used.

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 short and front-loaded with the action, which is good. But the second sentence is thin, and "the documented alignment response" is filler that consumes space without conveying usable information.

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 9-parameter generative tool with a nested settings object, no output schema, and no annotations, the description is far too sparse. An agent cannot learn what files are produced, whether cost gates apply, or how the timing metadata is returned.

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?

Schema description coverage is 0% across 9 parameters, including a nested voice_settings object, so the description needed to compensate and does not. The only hint is that audio and timing metadata are saved separately, which marginally suggests how filename is used, but text, voice_id, language_code, output_format, and model_id are entirely unexplained.

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 verb and resource are clear ("Generate speech"), and the phrase about an alignment response plus separately saved timing metadata hints that this variant returns timestamps, distinguishing it loosely from generate_speech. However, "the documented alignment response" is vague and points to documentation the agent does not have, so the tool's differentiating purpose is only implied by the name rather than stated outright.

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 choose this over generate_speech, generate_speech_stream, or generate_speech_stream_with_timestamps, all of which appear as siblings. The description also says nothing about prerequisites, cost implications, or streaming trade-offs.

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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