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elevenlabs_get_user_voices_v2

Read-onlyIdempotent

Get Voices V2. Gets a list of all available voices for a user with search, filtering and pagination.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ageNo
sortNo
accentNo
genderNo
searchNo
accountNo
categoryNo
languageNo
page_sizeNo
use_casesNo
voice_idsNo
voice_typeNo
high_qualityNo
collection_idNo
sort_directionNo
next_page_tokenNo
fine_tuning_stateNo
include_total_countNo
include_custom_ratesNo
include_live_moderatedNo
min_notice_period_daysNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

C2.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is established. The description adds that it includes search, filtering, and pagination, which is useful behavioral context. However, it does not elaborate on response format, pagination details, or any edge cases, so it adds minimal value beyond annotations.

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 (two sentences), but the first sentence 'Get Voices V2.' is redundant with the tool name and adds no value. The second sentence is concise but lacks structure. It is not verbose, but the filler reduces efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 21 parameters, no output schema, and no parameter description coverage, the description is severely inadequate. It provides no information about the meaning of search, filtering, pagination parameters, or expected return structure. This is far from complete for a complex tool.

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 only mentions generic 'search, filtering, and pagination' without explaining any of the 21 parameters (age, accent, gender, voice_type, etc.). The description fails to compensate for the lack of parameter documentation, making it impossible for an agent to know what each parameter does.

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 clearly states that this tool lists all available voices for a user with search, filtering, and pagination. It specifies the resource (voices) and the action (get list). It does not explicitly differentiate from sibling tools like elevenlabs_get_voices or elevenlabs_get_library_voices, but the mention of 'for a user' and the V2 suffix provides some distinction.

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 tool versus alternatives. The description only states what it does, without mentioning when it is appropriate or how it differs from other voice-listing tools. No exclusions or prerequisites are provided.

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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TDQS

C2.4/5.0
Disambiguation2/5

There are many tools with overlapping purposes, such as multiple voice retrieval tools (get_voice_by_id, get_voices, get_user_voices_v2, get_library_voices) and several dubbing transcript segment editors with only subtle naming differences. The inclusion of platform-level tools (authenticate, connect, marketplace) alongside ElevenLabs API tools further blurs boundaries.

Naming Consistency1/5

Naming is highly inconsistent. Most tools have the 'elevenlabs_' prefix, but some do not (authenticate, connect, marketplace, report_bug, show_version, toolkit_info). Several tools have truncated/random suffix names (e.g., elevenlabs_dubbing_target_transcript_segmen_b565e6, elevenlabs_get_pronunciation_dictionary_ver_45baf2), and one tool is in Portuguese (elevenlabs_list_accounts). This mixture of conventions and languages makes the pattern unpredictable.

Tool Count1/5

With 155 tools, the server is extremely bloated. It mixes a comprehensive ElevenLabs API surface with unrelated MCP platform tools (marketplace, authenticate, report_bug, etc.) that belong in a separate toolkit. This is a severe mismatch between the apparent purpose (ElevenLabs audio services) and the sheer number of tools.

Completeness3/5

The ElevenLabs-specific tools cover a wide range of operations (text-to-speech, voice management, dubbing, pronunciation dictionaries, Studio projects, workspace administration, order management), making it fairly complete for those domains. However, the inclusion of unrelated platform tools and the lack of a clear focus mean that an agent would have difficulty navigating this large surface, and some operations like music finetuning or speech engines appear only partially covered.