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GoAI Moat IP & Brand Protection

Brand Conflict Screen

brand_conflict_screen

Screen a brand name for conflict/squatting risk. Returns a checklist of official databases to search (in order) and a distinctiveness heuristic. This does NOT query live trademark databases — it tells you what to check and how to judge results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
marketNoUS
brand_nameYes
product_categoryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It responsibly discloses that no live trademark databases are queried and that the result is an ordered checklist plus a heuristic, not a live conflict verdict. It does not address auth or rate limits, but for a read-only screening tool these are less material.

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

Conciseness5/5

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

Three short sentences, each with a distinct job: define the action, state the output, and state the critical limitation. The description is front-loaded and free of filler.

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?

Because an output schema exists, the description need not restate the return shape, and it does cover core behavior and the key non-behavior. However, the undocumented optional parameters and the absence of routing guidance relative to the named siblings leave gaps for correct invocation in ambiguous situations.

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

Parameters2/5

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

No parameter-level schema descriptions exist (0% coverage), and the description adds no semantics for market or product_category. It only implies that brand_name is the name to screen; how market and product_category influence the checklist or heuristic is left completely unspecified.

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 opening sentence uses the specific verb 'Screen' against the resource 'brand name' for 'conflict/squatting risk,' and the second sentence names the deliverable: an ordered checklist and a distinctiveness heuristic. It does not explicitly differentiate from the sibling tools ip_risk_assessment or trademark_application_guide, though the live-query disclaimer helps narrow its scope.

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 description clearly conveys the intended workflow (obtain a screening checklist and judgement framework) and includes a key limitation: it does NOT query live trademark databases. However, it never states when to prefer this tool over ip_risk_assessment or trademark_application_guide, so the usage guidance is implied rather than explicit.

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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