elevenlabs_get_models

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

No annotations are provided, and the description offers no behavioral details beyond the basic listing action. It does not disclose authentication requirements, rate limits, whether results are paginated, or any side effects. The description is too brief to cover the burden typically expected without annotations.

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

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

The description is a single sentence, concise and to the point. It is front-loaded with the essential action. However, it is excessively brief, sacrificing useful details for brevity.

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

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

Given no output schema, the description minimally hints at the return content (models with languages) but does not specify the structure or any additional fields. It is adequate for a simple list tool but could be more informative.

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

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

The description does not explain the required api_key parameter. With 0% schema description coverage, the description should compensate by at least stating where the key comes from or its purpose, but it provides nothing.

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

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

The description clearly states the tool lists ElevenLabs TTS models along with their supported languages. It uses specific verb 'list' and resource 'available ElevenLabs TTS models', and distinguishes from sibling tools like elevenlabs_text_to_speech.

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

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

The description implies usage for obtaining model info but provides no explicit guidance on when to use it versus alternatives, nor any exclusions or prerequisites. Since sibling tools like elevenlabs_text_to_speech require model IDs, some context is implied but not stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.