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elevenlabs_get_groups_endpoint

Read-onlyIdempotent

Get All Groups. Get all groups in the workspace

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo

Schema Changelog

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

  1. First observed

TDQS

C2.8/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, which provide safety and side-effect transparency. The description adds that it returns all groups in the workspace, but does not add behavioral details like pagination, ordering, or whether it requires specific permissions. However, given the strong annotations, the description's minimal addition is acceptable; the tool is a simple read operation, and the annotations cover the most important behavioral traits.

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 extremely short (two sentences) and front-loads the purpose, but it is under-specified. While conciseness is good, the repetition ('Get All Groups. Get all groups in the workspace') is redundant and wastes space that could be used for parameter semantics or usage guidance. It is not overly verbose, but it lacks substance beyond the tautological repetition.

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 simple (no required params, no output schema, no nested objects), but the description is incomplete given the lack of schema descriptions and the need to explain the 'account' parameter. The tool has a sibling 'elevenlabs_search_groups' that suggests a related use case, and the description does not clarify how this tool differs. For a get-all operation, it would benefit from stating that it returns all groups without filtering, and any limitations or prerequisites (e.g., authentication). The current description is barely adequate.

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

Parameters2/5

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

The tool has one parameter 'account' with no description in the schema, and schema description coverage is 0%. The description does not explain what 'account' means or how to use it. Since there are no required parameters and the schema provides no semantics, the description must compensate, but it fails to do so. The parameter may be optional or used for filtering by account, but without explanation, an agent cannot determine how to populate it correctly.

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 states 'Get All Groups. Get all groups in the workspace', which clearly identifies the action (get) and resource (all groups in the workspace). However, it does not explicitly differentiate from sibling tools like 'elevenlabs_search_groups', though the name and phrasing imply it returns all groups without filters. The purpose is clear but lacks nuance about the scope or context.

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?

The description does not provide any guidance on when to use this tool versus alternatives like 'elevenlabs_search_groups'. It only says 'Get all groups in the workspace', which implies it's for fetching the full list, but there is no explicit mention of when to use this tool for unfiltered retrieval as opposed to a search or other group-related operations. There is no when-not or alternative reference.

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.