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Company Name Generator

CompanyNameGenerator
Read-only

Company Name Generator: Company Name Generator generates business name ideas from a seed keyword, returning a list of suggested brand names. Supply any industry or concept word to receive ready-made brand naming suggestions. (Cost: 1 credit)

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": "CompanyNameGenerator"
  }
}

Input Schema

NameRequiredDescriptionDefault
countNoThe number of company names to generate
keywordYesThe keyword to generate company names from

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description is not obligated to explain safety. It does add genuinely useful non-schema information: each call costs 1 credit and the result is a list of names rather than a single pick.

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?

Front-loaded with purpose, and the credit note is worth keeping, but the opening is redundant — it restates the name twice ("Company Name Generator: Company Name Generator generates...") before reaching the actual content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter generator with an output schema and read-only annotations, the description covers purpose, input expectation, output shape, and cost. Only minor gaps remain, such as no note on what happens with an empty or unrelated keyword.

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 coverage is 100%, so both parameters are already documented, setting the baseline at 3. The description adds only a mild semantic hint that the keyword can be "any industry or concept word"; the count parameter is never discussed.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: generates business/brand name ideas from a seed keyword, returning a list of suggestions. This clearly separates it from nearby siblings like CompanyLookup (lookup, not generation) or AcronymGenerator (acronym formation, not naming).

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?

"Supply any industry or concept word to receive ready-made brand naming suggestions" implies how to use it, but there is no explicit when-to-use/when-not guidance and no mention of alternatives such as UsernameGenerator or SuperheroNameGenerator when a different naming flavor is wanted.

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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