transcribe

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

With no annotations provided, the description carries the full burden. It discloses the core behavior—transcribing an input media file and returning language info plus timestamped segments—but does not mention possible side effects like model downloads, runtime/GPU cost, or the exact structure of the returned segments. This is adequate but not fully transparent for an ML-heavy operation.

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 compact, front-loaded, and free of filler: one clear purpose sentence followed by a focused Args block. It earns its place, though a short return-shape example would make it even stronger.

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 there is no output schema and no annotations, the description provides enough to make a basic call (path is required, model/device optional) but leaves ambiguity about the exact shape of 'language info' and 'timestamped segments.' It also does not explain how the output feeds into sibling tools generate_srt or burn_captions, which matters for an agent selecting downstream actions.

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 Args section compensates well: it defines path as the input file, enumerates Whisper model sizes (tiny/base/small/medium/large-v3), and lists device choices (auto/cpu/cuda). This adds real meaning beyond the schema's bare titles and defaults, though it does not go into path format or file-type restrictions.

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 opens with a specific verb and resource: 'Transcribe an audio or video file' and clearly states the output: 'return language info + timestamped segments.' It does not explicitly contrast with sibling tools generate_srt or burn_captions, but the action and output type largely make the tool's role clear.

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 when to use the tool: when a raw transcription with language metadata and timestamped segments is needed, rather than SRT generation or caption burning. However, it does not explicitly state when to prefer this tool over the sibling tools, nor does it provide exclusions or workflow positioning.

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