transcribe_audio

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

With no annotations, the description carries the full burden. It hints at a real constraint (the URL must be publicly reachable, not authenticated or local), which is genuinely useful, but says nothing about cost, latency, max duration, failure modes, or whether transcription is offline/batch vs synchronous.

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?

A single sentence with no waste, but it is under-specified rather than concise — there is room to add the missing parameter and behavior detail without bloat.

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?

An output schema exists, so return values need not be explained. However, for a 3-parameter tool with 0% schema description coverage and no annotations, the description is far too thin to let an agent call it correctly, particularly regarding language and ITN.

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 0%, so all three parameters are undocumented in structured data. The description only implicitly covers audio_url (must be public) and gives no meaning for 'language' or 'enable_itn' (inverse text normalization), leaving two of three parameters 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?

States a specific verb ('Transcribe') and resource ('a public audio URL') plus the backing model, so the action is unambiguous. It does not differentiate from siblings, but the siblings (image/video/speech generation, task polling) are far enough away that overlap is unlikely.

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?

There is no statement of when to use this versus synthesize_speech/upload_media, no prerequisite about URL accessibility beyond the adjective 'public', and no note about supported formats or size limits. The agent must infer the usage context entirely.

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