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

With no annotations, the description carries the burden of explaining behavior. It discloses the main outputs (canonical transliteration, character meanings, and related hand-written name pages) directly. It could add more detail about whether multiple suggestions are returned or what exactly 'related hand-written name pages' contain, but the core behavior is transparent.

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?

A single well-structured sentence that front-loads the action and object before specifying the output components. There is no filler or redundant restatement of the tool name. Every clause adds meaning.

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 low-complexity tool with one fully documented parameter and no output schema, the description provides enough information about what the tool returns to guide correct usage. It could be more explicit about output format or disambiguation from siblings, but it is largely complete for the stated task.

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?

The schema already fully describes the only parameter ('English/Western name, e.g. "Sophie"') with 100% coverage. The description adds no new detail about the parameter itself; it only repeats that the input is an English/Western name. Baseline 3 is appropriate because the schema does the heavy lifting.

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 opens with a specific verb ('Suggest') and resource ('Chinese names'), then enumerates concrete output components: canonical transliteration, character meanings, and related hand-written name pages. This clearly differentiates it from the sibling tools like lookup_meaning or render_chinese_name_seal, which focus on singular lookup or rendering operations.

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 usage scenario is explicit: take an English/Western name and produce Chinese name suggestions. It does not explicitly name alternatives or say when not to use this tool, but the trigger condition is clear enough that an agent can decide to use it when a suggestion task arises.

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