generate_deliverables

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does disclose two useful behavioral facts: the operation runs asynchronously in the background (后台异步) and billing is pay-per-use after the fact (按用量后付). However, it does not explain what happens after completion, how to retrieve results, or whether existing deliverables are overwritten.

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 extremely compact and front-loaded with the main purpose. Both clauses add distinct value: scope/action and async/billing behavior. It loses a point only because the brevity contributes to some ambiguity about exactly what 'all deliverables' includes.

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 one-parameter async tool, the description names the input context (brand film), confirms async execution, and states billing. But without an output schema or annotation, it does not tell the agent how to track the async job or obtain the generated deliverables, which is a meaningful gap for an async operation.

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?

The schema has one self-descriptive parameter, drama_id, with 0% description coverage. The description adds the useful contextual hint that the drama should be a brand film, which gives the parameter meaning beyond the raw integer type. It still does not describe the parameter explicitly, but the single parameter is simple enough that the added context is adequate.

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 states a clear action: one-click generation of all deliverables, scoped to a brand film (品牌片). It does not enumerate which deliverables are included, and it does not explicitly contrast with siblings like get_deliverables, so it falls short of a 5, but it is clearly not a tautology.

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 this tool is used when the user wants all deliverables generated at once, and the brand-film scoping gives some context. However, there is no explicit when-to-use vs. alternatives guidance, no exclusions, and no mention of sibling tools.

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