Suggest domain names
suggest_domainsUse this when someone has a keyword or an idea but no name yet: returns domain names that fit it and can be registered now, with their prices.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| tlds | No | ||
| keyword | Yes |
suggest_domainsUse this when someone has a keyword or an idea but no name yet: returns domain names that fit it and can be registered now, with their prices.
| Name | Required | Description | Default |
|---|---|---|---|
| tlds | No | ||
| keyword | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so safety is covered. The description adds genuine value by promising only domains "that can be registered now" and noting prices are returned, but it says nothing about result count, ranking, or whether availability is real-time or cached.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with the trigger condition first and the outcome second. No filler, though the pricing/registrability clause slightly crowds the main purpose statement.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema, so the description must carry the return-value burden, and it partially does (names plus prices). However, with two parameters at 0% schema coverage and no sibling differentiation, the definition leaves key invocation decisions to inference.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% for both parameters. The description only implies the keyword input; the 'tlds' filter (an array capped at 20 entries) is never mentioned, so an agent has no guidance on what to pass or what happens when it is omitted.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb-and-resource ("returns domain names that fit it") and adds a qualifier about registrability and pricing. It does not distinguish itself from close siblings like search_domains or screen_domains, which an agent could reasonably confuse it with.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Gives a clear triggering scenario: "when someone has a keyword or an idea but no name yet." That frames the use case well, but there are no exclusions or pointers to the alternatives (search_domains, screen_domains, domain_info) that cover adjacent needs.
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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