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

Annotations already establish read-only, idempotent, non-destructive behavior. The description adds useful context beyond that by mapping 'similarity_boost' and 'stability' to web-app sliders and confirming batch execution via voice_ids.

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 reasonably concise and front-loaded. The first sentence repeats the tool name but the remaining sentences add meaningful detail without unnecessary fluff.

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?

For a read-only tool with strong annotations and a simple schema, the description is mostly complete: it defines the purpose, the target voice, the bulk path, and two important settings mappings. The main gap is the unexplained 'account' parameter and the lack of explicit return-value detail, but no output schema is present and the tool is low complexity.

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?

Schema description coverage is 0%, so the description must compensate. It clarifies that voice_id targets a specific voice and that voice_ids enables batched execution, but the 'account' parameter remains completely unexplained.

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 'Returns the settings for a specific voice,' giving a specific verb and resource. It does not explicitly name or contrast with sibling tools like elevenlabs_get_voice_settings_default, but 'specific voice' and 'bulk support' help narrow its role.

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?

It is implied that this tool should be used when retrieving settings for a voice, and bulk execution is mentioned. However, there is no explicit guidance on when to use this instead of the default settings getter or how it relates to editing settings.

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