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MCPGeneration-for-ElevenLabs

MCPGeneration-for-ElevenLabs

generate_ambient_audio

Create ambient sound loops from text prompts and save them to a file, with optional loop flag and duration controls. Use it to produce background audio for games or scenes via ElevenLabs.

Instructions

Generate an ambient sound loop using the documented loop flag. The API does not guarantee a seamless loop beyond its own generation behavior.

Input Schema

NameRequiredDescriptionDefault
loopNo
textYes
filenameYes
model_idNo
allow_paidNo
output_formatNomp3_44100_128
duration_secondsNo
prompt_influenceNo
allow_unknown_costNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden. It mentions a loop-quality caveat but says nothing about cost implications (allow_paid, allow_unknown_cost are parameters), duration limits, model selection effects, output file handling, or whether generation is synchronous. For a 9-parameter generation tool with billing-related flags, this is a substantial gap.

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?

Two short sentences with no filler, which is efficient. However, the second sentence is a hedge about loop seamlessness that arguably belongs in a caveat section, and the space saved is spent on nothing informative.

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 generation tool with no annotations and no output schema, the description is far too thin. An agent cannot infer cost behavior, output location, duration constraints, or how this differs from the many other audio-generation siblings.

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, so the description must compensate and does not. It only alludes to the 'loop flag' without explaining loop semantics, and never addresses text, filename, model_id, duration_seconds, prompt_influence, output_format, or the two paid-cost consent flags.

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 description states a specific verb and resource ('Generate an ambient sound loop'), which clearly identifies a text-to-audio generation tool. It does not differentiate itself from siblings like generate_sound_effect, create_audio_loop, or generate_music, so it falls short of a 5.

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 tool over generate_sound_effect, create_audio_loop, or generate_music, which are close siblings. The only contextual hint is the mention of a loop flag, which is vague rather than a routing rule.

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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