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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

get_text_to_speech_generation

Read-onlyIdempotent

Retrieve a text-to-speech audio file by providing its generation ID. Access previously generated speech output from the ElevenLabs API.

Instructions

Get Speech Generation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
generation_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

D1.9/5.0
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 further: no note on retrieval semantics, authorization, error behavior when the id is absent, or whether the response includes audio artifacts vs metadata.

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?

The phrase is short and front-loaded, but it is under-specified rather than concise — it is a fragment carrying almost no information. Brevity here reflects missing content, not efficiency.

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 single-parameter lookup tool with no output schema, the description should at minimum explain that generation_id comes from a prior generation call or a listing endpoint. Annotations cover the safety profile, but the description leaves an agent without enough to call this correctly in a crowded sibling set.

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 provides no meaning for generation_id — not its accepted format, nor how to obtain one (e.g., from create_text_to_speech_generation or list_text_to_speech_generations). With one undocumented parameter, the description fails to compensate for the schema gap.

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 'Get Speech Generation' is a near-tautological restatement of the tool name and annotation title. It conveys the verb 'get' and the resource only because the name already does; it adds no scope, no distinguishing detail, and does not differentiate it from siblings like get_speech_history_item_by_id or list_text_to_speech_generations.

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 explicit when-to-use guidance and no named alternative (e.g., list_text_to_speech_generations for enumeration). Usage is only faintly implied by the 'Get' verb and the required generation_id.

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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