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

Adds meaningful behavior beyond the sparse annotations: it is asynchronous ('Returns at once') and the output materializes in get_job under 'translations', so the agent knows not to expect the result inline. It also notes timecodes are preserved. It does not mention cost or permission implications, but the async/result-location disclosure is genuinely useful.

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?

Two tight sentences with zero filler; the capability is front-loaded and the async/result-location note follows immediately. Every clause earns its place.

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 an async mutation with no output schema, the description covers what is translated, the completion prerequisite, and where the result surfaces, which is enough to invoke it correctly. Minor gaps like cost or failure modes remain but are not essential.

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 100%, so the baseline is 3. The description still adds real nuance by enumerating the translatable sources and clarifying that subtitles keep their timecodes, which explains the behavioral difference among the 'srt'/'vtt'/'timed' enum values.

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?

States a specific verb (translate) and its resource scope (transcript, subtitles, summary, action items) plus the target (another language). It is clearly distinguishable from siblings like request_summary or start_transcription, which produce rather than translate content.

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?

Establishes the key prerequisite that the job must be 'completed' and the source must already exist, giving the agent clear activation context. It does not name alternatives or explicit exclusions, so it stops short of a 5.

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