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Nexscope Ecommerce Data MCP

IP Risk Detection RG: text Trademark Detection API

nexscope_data_rg_text_trademark_detection

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

C2.3/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false and openWorldHint=true, so the safety profile is partly covered, but the description adds nothing: no indication that it queries an external IP registry, what a detection result contains, or whether matches are exact vs fuzzy. Nothing contradicts the annotations, but no behavioral value is contributed.

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?

There is no wasted text, but the single sentence is too small to be 'appropriately sized' for a four-parameter detection tool — it is under-specification rather than disciplined concision.

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?

For a tool with four parameters, an external open-world query, and no output schema, the description should explain what the detection returns and how results should be interpreted. Neither is present, leaving the agent to infer the return shape entirely.

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%, with productTitle, productText, regions (with an explicit country list) and limit all documented in the schema. The description supplies no additional parameter meaning, so the baseline 3 applies.

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 is a restatement of the tool name and title ('text Trademark Detection API') with no added verb, scope, or output description. It does not distinguish this tool from closely named siblings such as nexscope_text_trademark_detector, nexscope_data_rg_trademark_graphic_detection, or nexscope_ruiguan_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?

No when-to-use, when-not-to-use, or alternative selection guidance is provided. An agent cannot tell from the description whether this should be called instead of the near-identical nexscope_text_trademark_detector or the graphic-detection variants.

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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