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

The description describes a lookup/query operation ('查询工具列表和积分价格'), which is inherently a read, yet the annotations declare readOnlyHint=false and destructiveHint=true. This is a direct conflict between stated behavior and the safety profile, so the description misleads rather than informs.

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?

A single front-loaded sentence with no filler. It is appropriately sized, though its compressed phrasing makes the split between 'web scraping' and 'SERP' product IDs slightly ambiguous.

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?

There is no output schema, so the description must explain what is returned; it only gestures at 'tool list and credit price' without clarifying units, currency, or the shape of the tool list. Combined with the annotation contradiction, the definition is not sufficient to call the tool confidently.

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?

With one parameter and 100% schema description coverage, the schema already documents productId fully. The description restates that a product ID drives the lookup but adds no format, valid-range, or source (Dataify scraping vs SERP) distinction beyond what the schema provides.

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 names a specific action and resource: querying the tool list and credit price for a given Dataify web-scraping or SERP product ID. An agent can tell what it returns, but there is no differentiation from closely named siblings such as scraper_serp_products, scraper_serp_statistics, or scraper_task_list.

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?

There is no guidance on when to choose this tool versus scraper_serp_products (which likely lists products) or the other scraper_* siblings, and no prerequisites or exclusions are stated. The agent must infer usage purely from the wording.

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