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

Annotations already declare readOnly/idempotent/non-destructive, and the description adds real behavioral context beyond them: prices only reflect models a pricing page lists and are kept for a week (staleness), Higgsfield exposes workflow paths, and Raywake/CUDA server accounts return empty models. It doesn't discuss rate limits or ordering, keeping it at 4.

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 and contains no filler, but it is a single very dense sentence with stacked parentheticals covering field shapes, pricing rules, and per-provider quirks, which makes it harder to parse than a bulleted breakdown would be.

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?

With no output schema, the description fully documents the returned item shape (provider, account_id, account_uuid, name, models, prices with price/unit/currency) plus per-provider exceptions, which is everything needed to call and consume the result.

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 coverage is 0% and the schema declares `provider` as a bare string, so the description supplies the entire semantics: the full provider enumeration, the 'omit for all' default, and the critical distinction that `account_uuid` must be used downstream and never the numeric account_id.

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 description opens with a specific verb-scoped resource ('accounts that turn a picture into video clips') and ties it to the consuming tools (create_ugc_video / create_film_video), which separates it from the other list_*_ai_accounts siblings (images, voices, ai). An agent can identify the resource and its role 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?

Usage is strongly implied: enumerate accounts to obtain the `models` to pass as `model` and the `account_uuid` to pass downstream, with '(omit for all)' covering the no-filter case. There is no explicit when-not guidance (e.g., versus list_ai_accounts), so it falls short of a full 5.

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