recommend_nice_classes
Recommend Nice trademark classes based on a business description. Returns the most relevant classes with confidence scores and explanations.
This record as markdown: /tools/com-gleanmark-trademark-search/recommend-nice-classes.md
What recommend_nice_classes does on GleanMark Trademark Search
AI agents call recommend_nice_classes to retrieve information from GleanMark Trademark Search without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
industry | string | — | Optional industry category for context |
business_description | string | Yes | Detailed description of the business, products, or services (minimum 50 characters). Pass the full user description, do not summarize. |
Parameters from the server's own tool schema.
Why recommend_nice_classes is rated Low
This tool retrieves and queries trademark classification recommendations from the USPTO NICE classification system. It is purely informational and advisory—it analyzes input and returns suggestions without creating, modifying, or deleting any data, nor does it execute code or trigger external operations. The output is read-only guidance to inform business decisions.
From the tool's definition Tool recommends Nice trademark classes based on business description; returns recommendations with confidence scores and explanations. No data modification, deletion, or execution of external operations occurs.
Attacks that exploit this kind of access
The rule that runs recommend_nice_classes safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GleanMark Trademark Search, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For recommend_nice_classes, this is the rule to start with:
recommend_nice_classes is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GleanMark Trademark Search, apply this rule, and every recommend_nice_classes call is checked against it from then on.
Questions about recommend_nice_classes
Recommend Nice trademark classes based on a business description. Returns the most relevant classes with confidence scores and explanations. It is categorised as a Read tool in the GleanMark Trademark Search MCP Server, which means it retrieves data without modifying state.
recommend_nice_classes accepts 2 parameters: industry, business_description. Required: business_description. The full parameter table on this page comes from the server's own tool schema.
Register the GleanMark Trademark Search MCP server in PolicyLayer and add a rule for recommend_nice_classes: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GleanMark Trademark Search. Nothing to install.
recommend_nice_classes is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the recommend_nice_classes rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for recommend_nice_classes. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
recommend_nice_classes is provided by the GleanMark Trademark Search MCP server (https://gleanmark.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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