SealsCrafter 印章

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

With no annotations provided, the description carries the full behavioral disclosure burden. It clearly states the tool returns pinyin, tone, classical sources, and a link to the full page on sealscrafter.com, which gives the agent a good picture of the output. It does not mention any side effects or failure modes, but for a read-only lookup this is largely sufficient.

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 two sentences and about 35 words, with the core action and scope front-loaded. Every clause adds value: meaning/etymology, pinyin/tone/classical sources, and the link to the full page. No filler.

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 simple one-parameter lookup with no output schema, the description explains what will be returned (meaning, etymology, pinyin, tone, classical sources, link) and the scope (characters in Chinese names). It does not describe the exact output format or any edge cases (e.g. non-Chinese input), but the description is sufficiently complete for correct invocation.

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% and the parameter is already described as 'One Chinese character, e.g. "雨"'. The description adds the contextual note 'used in Chinese names' and examples, but it does not meaningfully expand on the parameter's format or constraints beyond what the schema already provides. Baseline 3 is appropriate.

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 a specific verb ('look up') and resource ('meaning and etymology of a single Chinese character'), with a clear scope ('used in Chinese names') and even examples ('雨', '李'). This clearly distinguishes it from sibling tools like render_chinese_name_seal and suggest_names, which serve different purposes.

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 description implies when to use the tool—when you need the meaning, etymology, pinyin, tone, or classical sources of a character in a name—but it does not explicitly contrast it with alternatives or state when not to use it. No exclusions or alternative routing is provided.

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

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

With no annotations provided, the description carries the full burden of disclosure. It clearly states the output (base64 PNG plus an explanation), the transliteration process, and that it includes character meanings. It also mentions the free/no-API-key aspect, which is a behavioral trait. It doesn't describe error behavior or limits, but for a render operation it is reasonably 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?

The description is two sentences with zero filler. It front-loads the main action and output format, then adds the transliteration detail and practical notes (free, no key). Every sentence earns its place, making it easy for an agent to parse quickly.

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?

There is no output schema, so the description must explain return values, and it does: base64 PNG plus an explanation. It also covers the process (transliteration) and the inclusion of meanings. It lacks explicit error handling or edge-case guidance, but for a simple render tool with a single required parameter, it is adequately complete.

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% for both parameters, so the schema already documents name and size. The description adds context that 'name' is transliterated and that meanings are included, but it doesn't elaborate on the size parameter beyond what schema provides. Since coverage is high, the baseline is 3, and the description adds minimal extra semantic value.

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 a specific verb ('render'), a precise resource ('traditional Chinese name seal as a PNG image'), and the target audience (Western/English names). It clearly distinguishes from siblings like lookup_meaning and suggest_names by focusing on the output artifact (a seal image) rather than meaning lookup or name suggestion.

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 specifies the input type ('Western/English name') and notes it is free and requires no API key, which signals ease of use. While it doesn't explicitly name alternatives or when not to use, the purpose is so distinct that an agent would rarely confuse it with the siblings. It could add exclusions (e.g., non-English names) but the context is clear.

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

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.