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One1 Trademark Risk Check

trademark_text_search

搜索与某个品牌名/商标词在美国注册商标库中冲突的商标(音/形/义近似检测)。

用于卖家给产品起品牌名前,查是否与已注册商标冲突。
query: 要核查的品牌名或商标词,例如 "Nike"。
nice_class: 尼斯商品类别号(如 "025"=服装鞋帽),可选;提供则按同类目重排风险等级。
live_only: 仅返回有效(Live)注册,默认 False。
limit: 返回条数,默认 10。
⚠️ 判读规则(重要):`count` 是返回的**最近邻条数**,恒等于 limit,**不是冲突数**——
即使该词完全无人注册,count 仍为 10。判断有无冲突请看 `has_conflicts` /
`conflict_count`(= 风险等级为「高」的条数)。
⚠️ `coverage.clearance_ok` 为 false 时,「无冲突」**不代表可注册**,必须结合当地检索。

返回: {query, conflict_count, has_conflicts, count, results:[...], coverage:{...}}。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
countryNoUS
live_onlyNo
nice_classNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

No annotations exist, so the description carries the full burden, and it does substantial work: it warns that `count` equals limit and is NOT the conflict count, that judgments should use `has_conflicts`/`conflict_count`, and that a false `coverage.clearance_ok` means 'no conflict' is not clearance. It omits auth/permission and rate-limit behavior, but the interpretation caveats are exactly the kind of non-obvious behavior an agent needs.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the purpose, then parameters, then the critical interpretation warnings. The warning block is long but each line is load-bearing; the trailing return-shape list is somewhat redundant filler given no output schema exists.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations and no output schema, the description supplies both the safety/interpretation context and an inline sketch of the return object (query, conflict_count, has_conflicts, count, results, coverage). Only the undocumented `country` parameter and absent sibling routing keep it from being fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate, and it documents query (with an example), nice_class (with an example and its effect on risk re-ranking), live_only (meaning and default) and limit (default). It leaves the `country` parameter (default 'US') undocumented, which is the one clear gap for a 5-parameter tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource (search US trademark registry for conflicting marks by sound/form/meaning similarity) and adds the practical framing of checking a brand name before launch. It never names or contrasts with siblings such as graphic_trademark_search or trademark_lookup_by_serial, so the differentiation is implied by the tool name rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says when to use it: before a seller names a product, to check for conflict with registered marks. It gives no exclusions or named alternatives (e.g. when to prefer graphic_trademark_search), but the context is unambiguous.

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

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