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NameSniper

by pro.namesniper
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namesniper_alternatives

Generate variations of an existing brand name using deterministic prefix, suffix, compound, and wordplay patterns. Returns JSON alternatives[] each with the name, the pattern used, a description, and a 0-100 brandability score. Use this to riff on a name the user already has; use namesniper_generate for brand-new AI ideas from a description. Free, no API key needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe base brand name
countNoNumber of alternatives to generate (1-20, default: 8)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • changedInput schema / properties / count / description
      Previous value: -"Number of alternatives to generate (default: 8)"New value: +"Number of alternatives to generate (1-20, default: 8)"
    • addedInput schema / properties / count / maximum
      Added value: +20
    • addedInput schema / properties / count / minimum
      Added value: +1
    • changedInput schema / properties / count / type
      Previous value: -"number"New value: +"integer"
  2. First observed

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries full burden. It discloses the deterministic generation method, the exact output structure (JSON with name, pattern, description, brandability score), and that it's free with no API key. Missing details like rate limits or constraints on input length, but the core behavioral traits are well-covered.

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?

Two sentences that front-load the purpose and output format, then nestle usage guidance and cost info. Every sentence earns its place; no redundancy or filler.

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

Completeness5/5

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

For a simple generation tool with two parameters and no output schema, the description adequately explains the return format, when to use vs alternatives, and cost/auth. It covers all necessary context without being verbose.

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% because both parameters (name, count) have descriptions in the schema. The description does not add further semantics about parameters beyond what is already in the schema, so it meets the baseline of 3.

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?

The description clearly states the tool generates variations of an existing brand name using specific deterministic patterns. It distinguishes from the sibling tool namesniper_generate by specifying that this tool works from an existing name, not from a description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says 'Use this to riff on a name the user already has; use namesniper_generate for brand-new AI ideas from a description.' This provides clear when-to-use guidance and names a specific alternative. Also notes 'Free, no API key needed,' which helps in deciding usage.

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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