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@aiwerk/mcp-server-elevenlabs

@aiwerk/mcp-server-elevenlabs

by AIWerk
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

list_speech_engines

Read-onlyIdempotent

Fetch a paginated list of available speech engines, with options to filter by name and sort by name, creation date, or weekly call count.

Instructions

List Speech Engines

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": "list_speech_engines"
  }
}

Input Schema

NameRequiredDescriptionDefault
cursorNoUsed for fetching next page. Cursor is returned in the response.
searchNoSearch term to filter Speech Engines by name
sort_byNoThe field to sort the results by
page_sizeNoHow many Speech Engines to return at maximum. Can not exceed 100, defaults to 30.
sort_directionNoThe direction to sort the results

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered structurally. The description adds nothing beyond that — no mention of pagination behavior via the cursor, default page size, or the search/sort capabilities that would help an agent call it correctly.

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

Conciseness2/5

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

It is short, but this is under-specification rather than conciseness. There is no front-loaded scope or filter information, so brevity comes at the cost of usefulness.

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 five-parameter paginated list tool with no output schema, the description does not explain what a Speech Engine is, how results are ordered by default, or how pagination terminates. Annotations cover safety only, leaving the functional picture incomplete.

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 all five parameters (cursor, search, sort_by, page_size, sort_direction) are fully documented in the schema itself. Per the baseline rule, a 3 is appropriate since the description contributes no additional parameter meaning.

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

Purpose2/5

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

The description is a verbatim restatement of the tool name/title ('List Speech Engines'), which is the definition of a tautology. It does not distinguish this tool from siblings like get_speech_engine, create_speech_engine, update_speech_engine, or delete_speech_engine.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no alternatives named, no prerequisites or conditions. The agent is left to infer everything from the name alone.

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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