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 elsewhere. The description adds only a trailing hint that the output is plan text ("研究计划文本") and discloses nothing about plan structure, length, determinism, or whether "design" changes the output shape.

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 and front-loads the action, but it reads as keyword fragments rather than a coherent sentence, and "研究计划" is repeated three times with a dangling final fragment that contributes little.

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?

This is a generation tool with no output schema, so the description is the only place to describe what the produced plan contains and how "design" shapes it. Neither is addressed, leaving a real gap for an agent that must decide whether to call this or a sibling planning tool.

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 both parameters are documented in the schema itself. The description adds no extra meaning for "topic" or for the optional "design" (research design type), so the baseline of 3 applies.

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 the verb+resource ("生成研究计划" – generate a research plan) and broadens it with alternate phrasings ("技术路线/研究方案框架"), so the deliverable is identifiable. However, it largely restates the tool name and title rather than distinguishing it from close siblings such as act_roadmap, act_writing_outline, or act_experiment_plan.

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?

It gives a trigger condition – the user already has a topic and needs a research plan – which is enough to imply when to call it. It names no alternatives and no exclusions, so an agent facing act_roadmap or act_design_generate gets no routing help.

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