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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. Beyond that the description discloses nothing: not the output form (a paragraph of text), not how lang/model_type/design_type influence the generated prose, and not whether it reads statistics from prior session state.

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?

It is short, but the shortness comes from under-specification and redundancy: "结果段落" is repeated as a dangling fragment at the end, and the middle clause merely paraphrases the title. Nothing is front-loaded beyond the title fragment.

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 and only three configuration parameters, the description needed to explain the input contract — where the statistical results come from and what the returned paragraph looks like. Neither is addressed, so an agent cannot tell how to actually supply the statistics this tool is supposed to write up.

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 description coverage is 100%, so the schema itself documents lang (zh/en), model_type and design_type, which sets the baseline at 3. The description adds no meaning beyond that — notably it never explains that design_type (研究设计) steers the reporting structure or that the actual statistical values are not passed as parameters.

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 restates the title ("结果段落生成") but does add a use-case clause: the user has statistical results and wants them written into a results paragraph. That gives a rough verb+resource, but it never specifies where the statistics come from (no such parameter exists) or what kind of paragraph is produced, so it stays generic relative to siblings like act_write_chapter or figure_legend.

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 guidance is the implied trigger "用户有统计结果" — use it when you have stats and need prose. There is no explicit when-not, no prerequisite (e.g. stats must already be computed by stats_toolbox/table_one_baseline first), and no routing to or from the many sibling writing tools.

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