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

Annotations already declare readOnly, idempotent, non-destructive and open-world, so the safety profile is covered. The description nonetheless adds substantial operational detail beyond them—failure codes (422/413/502-504, none charged), typical latency, privacy ('never logged or stored'), and an injection warning about third-party audio. That exceeds the annotation bar rather than merely repeating it, though the opening restates the title verbatim.

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?

Purpose and routing are front-loaded, and almost every sentence carries distinct information (limits, cost, errors, timing, privacy). Minor waste: the leading 'mlpeek: Speech to text and subtitles:' duplicates the title, and the price/timing block is dense enough to slow scanning.

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 a 7-parameter tool with an output schema, the description covers everything an agent needs to decide and call correctly: routing to siblings, size/duration constraints, cost per option, failure modes, and data-handling posture. Nothing material is missing.

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; the description still adds meaning by tying `speakers`, `chapters` and `translate_to_english` to both their output effects and their price tiers, which the schema handles only partially. It says little extra about `url`, `file_base64` and `language`, but those are already fully documented.

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 to text, timed segments, SRT and WebVTT') and immediately distinguishes itself from the two nearest siblings, transcribe_podcast_episode and translate_speech. An agent can identify the right tool without opening any 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?

Explicitly routes away from itself: 'For a podcast episode use transcribe_podcast_episode; to translate use translate_speech.' It also gives when-to-choose signals for the optional modes (translate_to_english, speakers, chapters) and states hard eligibility limits (10 min, 25 MB), so no inference is required.

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