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Nexscope Ecommerce Data MCP

Utility Patent Detector

nexscope_utility_patent_detector

Detect and search for similar utility/invention patents based on product information. Trigger when users mention utility patent detection, patent infringement risk, patent similarity search, patent screening, invention patent search, patent risk assessment, TRO (Temporary Restraining Order) risk analysis, utility patent, invention patent detection, patent infringement risk, patent search, TRO risk, Ruiguan. Even if the user does not explicitly say "utility patent", trigger this skill whenever their need involves checking whether a product may infringe existing utility/invention patents before selling in a target market.

Input Schema

NameRequiredDescriptionDefault
regionYesCountry/region code(s) where the product is intended for sale, multiple separated by commas. Currently supports US. Default US
topNumberYesNumber of results to recall, range: 10--200, default 100
productTitleYesProduct title, max 1000 characters
productDescriptionYesProduct description, max 1000 characters

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false and openWorldHint=true, so the safety profile is partly covered. Beyond that, the description says nothing about behavior: no indication of what a 'detection' returns (patent list vs. risk score vs. confidence), data source, latency, or why a search-style call is marked non-read-only. The bulk of the text is trigger keywords, not behavioral disclosure.

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?

The purpose is front-loaded correctly, but the body is a comma-spliced keyword dump that repeats the same concepts three times ('utility patent', 'invention patent detection', 'patent search') and includes an unexplained brand token 'Ruiguan'. Most of that text does not earn its place for an agent choosing a tool.

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?

With no output schema, the description carries the burden of describing what comes back, and it does not — an agent cannot tell whether it receives ranked patents, an infringement risk rating, or a TRO flag. For a four-required-parameter risk-assessment tool, this leaves a substantive gap.

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%, so region, topNumber, productTitle, and productDescription are already fully documented with examples and limits. The phrase 'based on product information' loosely ties productTitle/productDescription to the purpose but adds no syntax, quality guidance, or detail beyond the schema. Baseline 3 is appropriate.

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?

The first sentence gives a specific verb and resource: 'Detect and search for similar utility/invention patents based on product information.' An agent immediately knows this is a patent similarity/infringement lookup rather than a marketplace or image tool. It loses a point because near-identical siblings exist (nexscope_data_rg_utility_patent_detection, nexscope_ruiguan_detection_patent_design, nexscope_patent_search) and the description never distinguishes this tool from them.

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

Usage Guidelines3/5

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

The trailing sentence supplies genuine context: trigger when a user needs to check whether a product may infringe utility patents before selling in a target market. That is real when-to-use guidance. However, it never states when NOT to use it, nor does it route to alternatives such as the design-patent detector, trademark detector, or TRO detection tools that appear in the sibling list.

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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