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, but it only says the pack 'Includes the complete prompt, usage guide, and edge-case handling.' It does not explain whether this is a read-only retrieval of prompt content, what side effects if any occur, or what the returned artifact looks like. That is insufficient behavioral context for an unannotated tool.

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 short and front-loaded, but the opening sentence 'Turn expertise into output' is generic and the rest is promotional copy rather than informative specification. It is not bloated, yet several sentences do little to help an agent select or invoke the tool.

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?

Even for a simple one-parameter tool, the description is incomplete: it does not clarify what the tool produces, how the optional query is used, or how the result differs from related script tools. The mention of prompt, usage guide, and edge-case handling hints at the return package but does not fully explain it, and there is no output schema to compensate.

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 a single optional 'query' parameter whose description already states it scopes the analysis, and schema coverage is 100%. The tool description adds no further meaning about how the query affects the output or what forms it accepts. A baseline score of 3 is appropriate when the schema fully documents the only parameter.

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 calls this a 'douyin script doctor prompt pack' but never states a concrete operation or outcome, such as diagnosing, rewriting, or generating a Douyin script. Phrases like 'Turn expertise into output' and 'produce professional results' restate the name in marketing terms rather than specifying the tool's function. It also fails to distinguish the tool from near-identical siblings such as shortvideo-script-doctor or dy-script-kit.

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 only usage context offered is that it helps 'restaurant and brand teams,' which is an audience cue rather than a when-to-use rule. There is no guidance on when to choose this tool over the many sibling script tools, no prerequisites, and no exclusions. An agent would have to guess the appropriate scenario.

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