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

The annotations already establish a read-only, non-destructive, closed-world operation. Beyond that, the description adds a structured-PICO result and claims execution by a real algorithmic engine rather than LLM generation, but it does not explain validation, handling of incomplete elements, or whether repeated inputs produce stable refinements.

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 compact and front-loads both the PICO operation and the returned structure. The bracketed label, repeated PICO terminology, and compressed colon phrasing add little polish, but there is no substantial verbosity.

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 one-argument read-only tool, the schema example covers much of the nested input shape, but the central raw-question-versus-structured-PICO workflow remains unresolved. With no output schema, the brief return description also leaves the refinement contract and behavior for missing or ambiguous PICO components unclear.

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 coverage is 100%, and its example usefully shows the P/I/C/O fields, which would normally establish a baseline of 3. However, the prose suggests that a research question is supplied while the only argument is a structured `pico` object, creating uncertainty about whether the agent must perform the initial structuring itself.

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 clearly identifies the task as turning a research question into a standardized, structured PICO and states the intended result. It does not distinguish the tool from broader design siblings, and the name's "refine" wording versus the description's "拆成" leaves some ambiguity about whether an existing PICO is required.

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?

“用户给了研究问题” supplies a concrete when-to-use trigger: the user has provided a research question that needs PICO decomposition. There is no when-not guidance or alternative sibling, and the trigger is not reconciled with the schema's requirement for an already structured input object.

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