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

The annotations indicate this is a mutable (readOnlyHint=false) but non-destructive operation, which the description does not contradict. The description adds that voice translation is conditional on the plan allowing it, which is useful behavioral nuance. However, it does not specify side effects (e.g., whether the original recording is modified) or any required setup, leaving gaps beyond what annotations cover. Given annotations exist, the description provides some added context but not comprehensive behavioral disclosure.

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 two concise sentences, with the core function front-loaded. The example language codes are immediately useful and the text avoids unnecessary details. Zero 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?

The tool has two required parameters and an output schema, yet the description leaves the audio parameter entirely undefined. It also does not mention any constraints or prerequisites (e.g., accepted audio formats, maximum duration). This is incomplete for an agent to invoke correctly without additional guesswork.

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 schema descriptions for parameters are absent (coverage 0%), so the description must compensate. It explains that target_language uses a language code format (e.g., en, es, fr, de), which adds meaning. However, the audio parameter is completely undocumented—no format, source, or requirements are given. This is a significant gap given the 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's function: translating a recording into another language, covering both text and potentially voice. It specifies the resource (recording) and the action (translate), and gives a concrete example of the target_language code format. This distinguishes it from sibling tools like transcribe_audio or speak_text.

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 does not provide any guidance on when to use this tool versus alternatives. It does not mention prerequisites, such as whether the audio must be transcribed first, or any conditions for when translation is appropriate. No explicit comparisons to sibling tools are given, so an agent must infer usage context.

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