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

Without annotations, the description must disclose behavioral traits but only mentions payment and basic output. It omits details on error handling, rate limits, what 'on-brand' entails, and the outcome of payment failure, leaving significant gaps.

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?

The description is very short (one sentence plus a payment note) and front-loads the core purpose. It could be more structured (e.g., listing parameters) but avoids redundancy.

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?

Given no annotations, no output schema, and 0% parameter descriptions, the description is incomplete. It lacks context on output format, error states, and the payment workflow, making it insufficient for reliable agent use.

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%, so the description must add meaning. It only references 'from one prompt', ignoring url, brand, and aspect parameters. This fails to clarify their roles, defaults, or usage constraints beyond the schema's bare structure.

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 clearly states 'Produce a finished, on-brand short marketing video from one prompt', specifying the verb (produce) and resource (marketing video). This distinguishes it from sibling tools like extract_web_data and verify_output, which handle data extraction and verification respectively.

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 implies usage for creating short marketing videos and notes the cost ($12 USDC via x402). However, it does not explicitly state when to use this tool versus alternatives, nor does it list prerequisites or exclusions.

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