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sonwr
by sonwr

suggest_and_check_domains

Generate brand-name variations from keywords using prefixes, suffixes, compounds, and blends, then check domain availability for each. Find available domains when obvious names are taken.

Instructions

Generate brand-name variations from keywords, then check domain availability for each. Creates variations using prefixes (get-, try-, my-…), suffixes (-hq, -lab, -flow…), compounds (keyword1+keyword2), and portmanteau blends. Great for brainstorming when obvious names are taken.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordsYesRoot keywords to generate variations from, e.g. ["pulse", "data"]
tldsNoTLDs to check per variation. Default: com, io, ai, dev, app, co
max_variationsNoMax name variations to generate & check. Default: 20
Behavior3/5

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

No annotations are provided, so the description carries full burden. It explains generation methods (prefixes, suffixes, compounds, blends) and domain checking, but omits return format, auth needs, or rate limits. Adequate but not fully transparent.

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?

The description is two sentences plus a third usage hint, front-loaded with the main action. It is appropriately sized and structured, though could be slightly more concise.

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?

Given no output schema, the description should explain return format or data structure, but it does not. It also does not explicitly differentiate from sibling tools beyond the implicit generation step. Somewhat incomplete.

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

Parameters4/5

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

Schema coverage is 100% with descriptions for each parameter. The tool description adds meaningful context about how variations are generated (prefixes, suffixes, etc.), supplementing the schema and aiding agent understanding.

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 brand-name variations from keywords and checks domain availability. It distinguishes from siblings (check_brand_domains, check_domains, list_supported_tlds) by combining generation and checking.

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

Usage Guidelines4/5

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

The description provides explicit context ('Great for brainstorming when obvious names are taken') but does not specify when not to use or explicitly name alternatives.

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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