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 and the description only needs to add context. It contributes that output involves a novelty verdict plus similar studies, but says nothing about the searched corpus, coverage, or confidence limits of the assessment.

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 trigger, which is good, but the leading phrase repeats the tool title verbatim and the rest is a run of unpunctuated keyword fragments rather than a structured sentence. Nothing is padded, yet the phrasing is dense enough to slow parsing.

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 read-only, single-parameter tool with no output schema, the description should at least indicate the kind of result returned (e.g., a novelty score, a list of similar papers). It only alludes to '新颖性评估与相似研究' without describing the shape of the response or the basis of the judgement, leaving a real gap.

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?

There is a single parameter with 100% schema description coverage ('研究主题/题目'), so the schema already does the work. The description adds no guidance on whether the topic should be a full title, a keyword string, or how specificity affects results, so it does not exceed the baseline.

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 pairs a specific action (检索/retrieval) with a specific resource (选题新颖性) and clarifies it covers novelty assessment plus similar-study discovery. It is clearly distinguishable from neighbours such as act_topic_gaps or act_topic_feasibility by intent, though it never names a sibling 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?

It gives a concrete triggering condition: use when the user asks whether a topic has been done before, whether it is new, or whether it would duplicate existing work. That is real when-to-use guidance, but there are no exclusions or pointers to the alternative topic tools (act_topic_gaps, act_topic_lit_review), so an agent must still infer boundaries.

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