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IP Risk Detection RG: text Trademark Detection API

nexscope_data_rg_text_trademark_detection
Read-only

IP Risk Detection RG: text Trademark Detection API.

Input Schema

NameRequiredDescriptionDefault
limitYesLimit on the number of returned results, maximum 500
regionsNoCountry/region codes, separate multiples with commas. support `US`, `EM`, `GB`, `DE`, `FR`, `IT`, `ES`, `AU`, `CA`, `MX`, `JP`, `CN`, `WO`, `TR`, `BX`US
productTextNoOther text information about the product, such as five-point description or product description, maximum 1000 characters
productTitleYesProduct title, used for trademark detection, maximum 1000 characters

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered by structured data. The description adds nothing on top of that: no mention of what the detection returns, whether results are region-scoped legal records, latency/cost characteristics, or how the returned matches should be interpreted.

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

Conciseness2/5

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

It is a single sentence fragment with no padding, but that brevity comes from under-specification rather than economy — the whole text is a restatement of the title, so there is no useful information to be front-loaded. Nothing in it earns a place beyond naming the tool again.

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

Completeness2/5

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

This is a 4-parameter, 2-required-parameter detection API with no output schema, so the description must explain what a detection result contains and how to interpret it. It does none of that, leaving the agent unable to predict the response shape or judge whether a hit is actionable.

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

Parameters3/5

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

Schema description coverage is 100%: limit, regions, productText and productTitle all carry their own descriptions including the region code list and character limits. The description contributes no additional parameter meaning, which is the baseline-3 case when the schema does the work, but it also does not mislead about inputs.

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

Purpose2/5

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

The description restates the title verbatim ('IP Risk Detection RG: text Trademark Detection API') without a verb, an object of the detection, or any explanation of what the call actually does with the product title. It only gestures at the domain (text-based trademark checking), which the name and title already convey. It also does not distinguish it from close siblings such as nexscope_text_trademark_detector or nexscope_data_rg_trademark_graphic_detection.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no steering toward or away from any alternative tool. The agent must infer from the name alone that this is for checking product titles/text for trademark conflicts, and cannot tell from the text why it would pick this over the other trademark or graphic-detection siblings.

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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