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

No annotations are supplied, so the description carries the full burden; it discloses the payload shape (segment IDs, speaker IDs, speech islands, processed duration, video_id, stem_id) and the two input transport modes (local path under stdio vs public HTTPS URL under hosted). It omits cost/rate-limit or failure behavior, and the phrase "Draft step" is unexplained, leaving some ambiguity about processing guarantees.

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?

Front-loaded with the core purpose and the sibling contrast, then transport, prerequisites, and parameter notes in descending priority. Slightly dense and the elliptical "Draft step" fragment costs a little clarity, but no sentence is padding.

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-value explanation is optional and the extra segment-field detail is a bonus. However, for a 5-parameter, annotation-free mutation-ish processing tool, three parameters remain opaque and there is no note on expected latency or failure modes for long-form jobs.

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 description must compensate. It explains file_path transport semantics and speaker_count's 0-for-auto / 1-8 range, but leaves enterprise_long_form, source_language_code, and keep_background_music entirely undocumented in both schema and description — three of five parameters.

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 and resource ("Transcribe audio/video with complete timed segments and speaker metadata") and immediately distinguishes itself from the sibling compact tool: "Unlike the compact transcribe_audio display, returns all segments...". An agent can select between the two without opening either schema.

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?

Gives an explicit alternative (transcribe_audio for compact output), a use case ("multi-speaker dubbing or long transcripts"), and a prerequisite workflow step ("check get_audio_capabilities before requesting long-form processing"). This is close to ideal when/when-not guidance.

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