mcp-server-domain-tools

generate_brand_variations

Expands domain portfolios by creating strategic brand suffixes and industry compound variations from a seed keyword.

Instructions

Generates strategic brand suffixes and industry compound variations for portfolio expansion.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "keyword": "<keyword>"
    },
    "name": "generate_brand_variations"
  }
}

Input Schema

Name	Required	Description	Default
`keyword`	Yes	Base seed keyword (e.g. compute, cloud, pay)

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Oct 15, 2026

TDQS

C2.9/5.0

Behavior2/5

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

With no annotations, the description carries the full behavioral burden, yet it says nothing about how many variations are returned, whether results are deterministic, whether availability is checked, or what form the output takes. "Strategic" and "compound variations" convey tone but no operational behavior.

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

Conciseness4/5

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

A single front-loaded sentence with no filler or redundancy. It is efficient, though the brevity partly stems from under-specification rather than disciplined editing.

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 generator with no output schema and no annotations, the description should at least indicate the shape or quantity of generated output. It omits return format, count, and any indication of determinism, leaving the agent unable to predict results.

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?

There is only one parameter and schema description coverage is 100%, so the schema already documents "keyword" with examples (compute, cloud, pay). The description adds no syntax, constraints, or cardinality guidance beyond what the schema provides, making baseline 3 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?

States a specific verb ("Generates") and resource ("brand suffixes and industry compound variations"), so an agent knows the general operation. However, "strategic brand suffixes" is vague marketing language, and nothing distinguishes this from the sibling full_domain_audit.

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?

The only contextual hint is the trailing phrase "for portfolio expansion," which implies branding/domain work but gives no explicit when-to-use criteria, prerequisites, or alternatives. Sibling full_domain_audit is never referenced or contrasted.

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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