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Nexscope Ecommerce Data MCP

Text Trademark Detector

nexscope_text_trademark_detector

Text trademark detection and infringement risk analysis for e-commerce product listings. Trigger when users mention trademark detection, trademark risk check, brand infringement screening, product title trademark scan, text trademark search, listing compliance check, intellectual property risk assessment, text trademark detection, trademark infringement, brand infringement screening, listing compliance, intellectual property risk, Ruiguan. Even if the user does not explicitly say "trademark", trigger this skill whenever their need involves checking whether product text (titles, descriptions, bullet points) contains potentially infringing trademarks.

Input Schema

NameRequiredDescriptionDefault
limitYesLimit on the number of returned results (default 100, max 500)
regionsNoCountry/region codes, multiple separated by commas. Supported values: US, EM, GB, DE, FR, IT, ES, AU, CA, MX, JP, CN, WO, TR, BX
productTextNoOther product text information, such as bullet points or product description (max 1000 characters)
productTitleYesProduct title, used for trademark detection (max 1000 characters)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior2/5

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

Annotations only declare readOnlyHint=false and openWorldHint=true, so the description must carry the behavioral burden and largely does not. It never says what a detection returns (risk score? matched marks? per-region hits?), whether it calls external trademark registries (latency/cost implications of openWorldHint), or why the tool is flagged as non-read-only for what reads like a lookup.

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

Conciseness3/5

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

Purpose is front-loaded in the first sentence, which is good. But the trigger list is padded with near-duplicates ('trademark detection', 'brand infringement screening', 'listing compliance', 'intellectual property risk' each appear twice) and consumes roughly half the description without adding discriminative signal.

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

Completeness3/5

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

Covers what it does and when to fire, which is the core need, but with no output schema the agent still has no picture of the response (risk verdict, matched trademark names, jurisdictions) or of the readOnlyHint=false implication. For a risk-assessment tool those gaps matter more than for a simple lookup.

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 coverage is 100%, so the schema already documents productTitle, productText, regions and limit with examples and constraints — the baseline of 3 applies. The description adds only a loose mapping to 'titles, descriptions, bullet points' and says nothing about how regions or limit affect the risk analysis outcome.

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+resource: text trademark detection and infringement risk analysis for e-commerce product listings, with scope clarified as product titles, descriptions and bullet points. It implicitly separates itself from the graphic-detection sibling by emphasizing 'text', but never names that sibling or the closely-named nexscope_data_rg_text_trademark_detection alternative.

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?

Gives explicit trigger conditions including the important fallback 'even if the user does not explicitly say trademark, trigger whenever their need involves checking product text for infringing trademarks'. However it offers no when-NOT-to-use guidance and no routing to the trademark-graphic or patent-detection siblings when the input is an image or a design.

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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