extract_audio_transcription_cues

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

With no annotations, the description carries the behavioral burden. It does disclose the transformation behavior, target formats, sentence-boundary alignment, and the 0.01 USDC cost. However, it does not state whether the operation is read-only, whether payment is required before execution, or how errors and malformed inputs are handled.

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?

One focused sentence followed by a brief cost note. The main verb and resources are front-loaded, and every sentence adds useful information without repeating schema details.

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 payload format for 'raw speech model timestamp segments' is essential for invocation but is entirely unspecified, and there is no output schema. The description explains the high-level goal but leaves the concrete invocation contract vague.

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 100%, so the baseline is 3 even though the payload and paymentSignature descriptions are generic. The description does not clarify the expected JSON shape for the timestamp segments or the exact payment/settlement requirements beyond the cost parenthetical.

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 uses a specific verb ('Formats'), names a clear input ('raw speech model timestamp segments'), and specifies concrete outputs ('standard WebVTT and SRT subtitle tracks'). However, it does not differentiate this tool from the closely named sibling 'audio_transcription_vtt_aligner', which likely handles similar VTT/audio-transcription concerns.

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 input/output wording implies this tool is for converting raw timestamp segments into subtitle tracks, so usage context is inferable. It provides no explicit when-to-use vs. alternatives guidance, no prerequisites, and no mention of when to prefer the similar sibling tool.

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