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

With no annotations, the description carries the full disclosure burden and does well: it states the cost model (1 credit per minute), the asynchronous behavior (long jobs return a job_id to poll with get_job), and the artifact lifetime (result links expire in 1 hour). It stops short of clarifying that the source video is untouched and a new graded asset is produced, but the operational profile is solidly covered.

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?

Three compact sentences with zero filler: the purpose and preset menu come first, then cost, then async and expiry mechanics. Each sentence delivers information the agent needs to invoke the tool correctly.

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?

No output schema exists, and the description compensates by explaining the return path (job_id polling via get_job) and link expiry. Combined with the cost and preset information, an agent has nearly everything needed; the remaining hole is precise numeric semantics for the tuning parameters.

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 low (29%), so the description must compensate; it maps the preset enum to human-readable looks and names the four fine-tuning controls (brightness, contrast, saturation, vignette). However it gives no units or ranges for the numeric controls (e.g. contrast 0.5-2, brightness -0.5 to 0.5) nor the meaning of the vignette boolean, leaving real gaps against a 7-parameter tool.

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 opening sentence states a specific action and resource ('Give a video a cinematic look') and immediately enumerates the preset vocabulary (teal and orange, warm film, cool noir, black and white, vintage), which cleanly separates it from siblings like edit_video or video_reverse. An agent can identify the operation without opening the 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?

The description conveys the intent (stylistic look via presets) but never states when to prefer this over neighboring video tools such as edit_video, trim_media, or compress_media, and offers no exclusions or prerequisites. Usage is implied by the preset framing rather than explicitly guided.

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