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ElevenLabs

by io.github.mcp-dir
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elevenlabs_get_voice_settings_default

Read-onlyIdempotent

Get Default Voice Settings.. Gets the default settings for voices. "similarity_boost" corresponds to"Clarity + Similarity Enhancement" in the web app and "stability" corresponds to "Stability" slider in the web app.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "elevenlabs_get_voice_settings_default"
  }
}

Input Schema

NameRequiredDescriptionDefault
accountNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so safety is covered. The description adds the mapping of settings to web app sliders, which is useful. However, it does not describe return format, optional parameters, or any edge cases, but that is not required given the simple read-only nature.

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?

The description is short but contains redundancy ('Get Default Voice Settings..' followed by 'Gets the default settings for voices'), and includes a typo with double periods. It could be more concise and better structured, though the mapping explanation earns some credit.

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 tool is a simple getter with no output schema, but the description omits explanation of the optional account parameter and the overall purpose in context (e.g., text-to-speech settings). It provides only partial context, making it incomplete for an agent deciding on usage.

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?

Schema description coverage is 0% and the description does not explain the 'account' parameter at all. The parameter is optional but entirely undocumented, leaving the agent without any semantic meaning for it.

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

Purpose5/5

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

The description clearly states the tool retrieves default voice settings and explains the meaning of two key settings (similarity_boost and stability). This distinguishes it from sibling tools like elevenlabs_get_voice_settings, which likely target specific voices.

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?

No guidance on when to use this tool versus alternatives. It does not mention when default settings should be fetched or when to use the similar elevenlabs_get_voice_settings. The description lacks any usage context or exclusions.

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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