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

With no annotations, the description carries the full behavioral burden and does well: it discloses per-started-minute billing, the exact price (€0.006/min), that the charge hits the API key in the Authorization: Bearer header, and the audio pipeline steps. It omits operational limits an agent would want — max file size or duration, sync vs. async behaviour, and failure modes.

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?

Everything is front-loaded in one dense but well-ordered block: purpose and outputs first, then cost, then a compact parameter list. No filler sentences, and the parameter rundown is presented in a scannable form.

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 five-parameter processing tool with no annotations, the description covers what it does, what media it accepts, what it outputs, what it costs, and the meaning of every parameter. Since an output schema exists, return-value detail is unnecessary, and nothing essential to correct invocation is missing apart from optional operational limits.

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, and it names all five parameters with defaults and constraints (strength 0.1–1.0 default 0.85, stationary bool default false, normalize bool default true, format mp3|ogg|wav). It loses a point because it declares strength numeric and stationary/normalize boolean while the schema types every property as string|null, a mismatch that could cause rejected calls.

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+resource: spectral noise reduction plus high-pass and loudness normalisation to -16 LUFS, with named target media (voice memos, calls, podcasts) and output formats. It is clearly distinct from siblings like speech_to_text or text_to_speech, but never names an alternative tool, so it stops short of explicit sibling differentiation.

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?

Usage is implied through the enumerated source material (voice memos, calls, podcasts) and the cleanup chain it performs, but there is no explicit when-not guidance, no prerequisites (e.g. URL must be publicly reachable), and no pointer to a sibling for related tasks. The billing note gives useful cost context but not selection guidance.

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