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elevenlabs_get_voice

Fetch detailed metadata for a specific ElevenLabs voice using its voice ID, with the option to include voice settings such as stability and similarity boost.

Instructions

Get metadata for a specific ElevenLabs voice by ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYes
voice_idYes
with_settingsNoInclude voice settings (stability, similarity_boost)
Behavior3/5

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

No annotations are provided, so the description carries the burden. It describes a read-only operation ('Get metadata') with no mention of side effects, authentication requirements, rate limits, or response structure. The description is adequate for a simple get, but lacks depth.

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

Conciseness5/5

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

The description is a single sentence, front-loaded with the core action and resource, and contains no unnecessary words. Every word earns its place.

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

Completeness3/5

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

Given the low complexity (single object retrieval), the description is mostly adequate. However, the absence of an output schema means the agent does not know what fields are included in 'metadata.' For a simple tool, this is acceptable but not comprehensive.

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 33% (only 'with_settings' is described). The description does not add meaning beyond the parameter names; 'api_key' and 'voice_id' are not elaborated. Since parameter names are self-explanatory, the description adds minimal value, and baseline 3 is appropriate.

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 states 'Get metadata for a specific ElevenLabs voice by ID,' clearly identifying the action (get), resource (metadata for a voice), and identification method (by ID). It distinguishes from sibling tools like 'elevenlabs_list_voices' which likely returns all voices, but does not explicitly contrast them.

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

Usage Guidelines3/5

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

The description implies usage when a voice_id is available and metadata is needed, but it does not specify when to use this tool versus alternatives (e.g., 'elevenlabs_list_voices' for listing all voices) or provide prerequisites or exclusion criteria.

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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