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@aiwerk/mcp-server-elevenlabs

@aiwerk/mcp-server-elevenlabs

by AIWerk
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

add_from_file

Add a pronunciation dictionary to ElevenLabs from a local .pls file or Base64 content, enabling custom pronunciations for text-to-speech projects.

Instructions

Add A Pronunciation Dictionary

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

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

Input Schema

NameRequiredDescriptionDefault
nameYesThe name of the pronunciation dictionary, used for identification only.
file_pathNoA lexicon .pls file which we will use to initialize the project with. Local path.
descriptionNoA description of the pronunciation dictionary, used for identification only.
file_base64NoBase64 contents for "file". Use this when the server cannot read your local disk.
file_filenameNoFilename to send for "file". Some endpoints infer the audio format from it.
workspace_accessNoShould be one of 'admin', 'editor' or 'viewer'. If not provided, defaults to no access.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond that — no note on what is created, whether duplicates are allowed, or how file_path vs file_base64 behave. It repeats the title rather than enriching behavior.

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?

A single short phrase with zero padding, so it is concise and front-loaded. But the brevity reflects under-specification rather than efficiency, giving the agent little to act on.

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 6-parameter mutating creation tool with no output schema, a bare resource label is not complete. It omits which file source to prefer, default workspace access behavior, and any outcome information, leaving meaningful gaps for an agent.

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

Parameters3/5

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

Schema description coverage is 100%, so every parameter (name, file_path, description, file_base64, file_filename, workspace_access) is already documented in the schema. The description adds no additional meaning, which is the expected baseline 3 when the schema does the heavy lifting.

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 names a specific resource ('pronunciation dictionary') and a verb ('Add'), which clarifies the family of the tool. However, it does not mention the 'from file' mechanism implied by the name, nor does it distinguish this tool from close siblings like add_from_rules or update_pronunciation_dictionaries. Purpose is understandable but shallow.

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 use this versus add_from_rules, add_rules, or update_pronunciation_dictionaries, no prerequisites, and no mention of the required 'name' field or the file source options. The agent must infer usage entirely from the name and schema.

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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