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

Annotations already declare the mutation profile (readOnlyHint=false, idempotentHint=false, openWorldHint=true), so the description's job is to add operational context — and it adds almost none. It does not say that this kicks off an asynchronous job, whether credits are consumed, how results are retrieved (get_job/list_jobs), or that the input must be user-owned. The noise-type examples are the only real addition.

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 front-loaded sentence with no filler, and the parenthetical noise examples are the most useful detail in it. It is efficient but so terse that the brevity shades into under-specification rather than economy.

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 non-read-only, non-idempotent, open-world media job with no output schema, the agent needs to know that a job is created and how to collect the result; none of that is present. Given the sibling set includes get_job, list_jobs, and cancel_job, the missing async lifecycle context is a meaningful gap for this complexity level.

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%, and both parameters are documented thoroughly in the schema, including the create_upload_link and job-chaining relationship. The description contributes nothing beyond that, so the baseline 3 applies.

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 ('Reduces background noise ... in a video or audio file') and concretizes the noise types (hum, wind, street, fans), which lets an agent distinguish it from unrelated processing siblings like remove_silences or change_speed. It never names an alternative explicitly, so it stops short of a 5.

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 when-to-use or when-not-to-use guidance, no mention of prerequisites, and no routing to alternatives. The phrase 'video or audio file' also blurs scope, since the schema only accepts a video_url or a chained source_id, leaving the agent to guess whether audio-only inputs are actually supported.

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