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

Annotations already declare readOnlyHint=false with destructiveHint=false and openWorldHint=false, so the safety profile is largely covered; the description adds 'RETURNS: 该章节正文', telling the agent the output is section body prose. It says nothing about generation cost, determinism, whether the text is grounded in the supplied design/population/outcome, or that it will not touch existing documents.

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 pipe-delimited layout front-loads purpose and trigger well, but the bilingual duplication and long ALIASES list of Chinese keywords ('写方法, 写讨论, 写摘要, 写引言, 单章, section, write one chapter') is keyword stuffing that adds no semantic value for an agent.

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 5-parameter generation tool with no output schema, the definition covers purpose, trigger, and return type but omits how the section interacts with the other parameters and whether unsupplied optional fields degrade the result. Adequate but with clear gaps for a tool whose output quality depends on input richness.

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 every parameter (title, design, section, population, main_outcome) is already documented in the schema. The description only restates the section values in the USE WHEN clause, adding no syntax, defaults, or guidance on which optional fields meaningfully improve the output.

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?

States a specific verb+resource ('Single-section writer') and enumerates the section types it covers (abstract / methods / discussion / introduction). It is clear the tool produces exactly one section, which implicitly separates it from a multi-section or paragraph-level writer, but it never names the sibling (e.g. results_paragraph_writer) or states the boundary explicitly.

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?

'USE WHEN: the user wants only one section written' gives a clear positive trigger, reinforced by the section list. There is no when-not guidance and no named alternative for the multi-section or results-paragraph case, so routing still requires inference.

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