Translate audio

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

Annotations already indicate readOnlyHint=false (mutation), destructiveHint=false, openWorldHint=true. The description only says 'transcribes and translates to English', adding no behavioral context beyond annotations (e.g., file constraints, language support, result handling).

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 extremely short (one fragment). While front-loaded and concise, it lacks structure and omits important details. Not overly verbose but under-specified.

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?

With 5 parameters, no output schema, and low schema coverage, the description does not explain key aspects like model options, prompt usage, or output format. Significant gaps for a complex translation task.

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 coverage is 20% (only file has a description). The description does not clarify parameters like model, prompt, temperature, or response_format, leaving 4 parameters undocumented. Description fails to compensate for low schema coverage.

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 transcribes audio and translates to English, distinguishing it from siblings like transcribe_audio (transcription only) and translate_text (text input).

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 audio-to-English translation tasks but does not explicitly state when to use it versus alternatives like transcribe_audio or translate_text, nor does it provide prerequisites or exclusions.

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