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hofmeister

@hofmeister/godaddy-mcp

by hofmeister

suggest_domains

Read-only

Generate available domain name suggestions from a keyword or natural-language query, with indicative pricing. Filter by TLD, length, and source to pinpoint registrable domains.

Instructions

Get available domain name suggestions for a keyword or natural-language query, with indicative pricing. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tldsNoTLDs to include, e.g. ["com", "net", "shop"].
queryYesNatural-language query or keywords, e.g. "sunrise bakery".
sourcesNoSuggestion strategies: EXTENSION (vary TLD), KEYWORD_SPIN (rotate keywords), CC_TLD (country-code TLDs), PREMIUM (include premium names).
pageSizeNoNumber of suggestions (1-50, default 10).
lengthMaxNoMaximum second-level label length.
lengthMinNoMinimum second-level label length.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

The annotations already mark the tool read-only, and the description restates 'Read-only.' It adds some useful behavior: results are 'available' suggestions with 'indicative pricing' rather than guaranteed registrations. However, it doesn't disclose suggestion-source behavior, ordering, or whether results are exhaustive, so context beyond annotations is thin.

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 very short and front-loads the core purpose, but the standalone 'Read-only.' sentence repeats the readOnlyHint annotation and does not fully earn its place.

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?

For a 6-parameter read-only tool with no output schema, the description gives a clear one-line purpose and a hint at pricing in the response, but it omits output shape and does not route users away from semantically adjacent tools like check_domain_availability. Adequate, but with gaps.

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 description coverage is 100%, so the schema carries detailed meanings for query, tlds, sources, pageSize, lengthMin, and lengthMax. The description only restates the 'keyword or natural-language query' concept and adds no parameter-level guidance beyond the schema.

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 opens with a specific action and resource: 'Get available domain name suggestions for a keyword or natural-language query.' This clearly distinguishes it from siblings like check_domain_availability (checking a specific domain) and list_domains (listing owned domains).

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 implies the tool is for query-driven suggestion generation, but it never states when to prefer it over sibling tools such as check_domain_availability, nor does it mention any exclusions. Agents must infer the boundary from the tool name and sibling set.

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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