check_domain
Check domain availability and pricing across multiple TLDs for a brand name.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | The brand name to check | |
| tlds | No | TLDs to check (defaults to com, io, ai, app, dev, co) |
Check domain availability and pricing across multiple TLDs for a brand name.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | The brand name to check | |
| tlds | No | TLDs to check (defaults to com, io, ai, app, dev, co) |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries full burden. It implies a non-destructive read operation but does not detail side effects, API calls, rate limits, or whether data is real-time. Adequate but lacking depth.
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, clear sentence front-loads the action and resource. No extraneous words.
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?
For a simple two-parameter tool with no output schema, the description covers basic functionality. It could mention that it checks exact name matches per TLD or default TLDs, but is adequate for selection.
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 coverage is 100% with parameter descriptions. The description reinforces the schema's 'brand name' concept and mentions 'pricing', adding minimal value beyond the schema. Baseline score is appropriate.
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?
The description clearly states that the tool checks domain availability and pricing across multiple TLDs for a brand name. It uses a specific verb-resource combination and distinguishes itself from sibling tools by focusing on domains.
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?
No guidance is provided on when to use this tool versus its siblings (check_geo, check_social, check_trademark, score_name). The description only explains functionality, not usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct aspect of brand name evaluation: domain availability, GEO score, social handles, trademark conflicts, and overall scoring. There is no overlap in purpose.
Four of five tools follow a consistent 'check_' prefix pattern, but 'score_name' breaks this convention with a different verb. The pattern is otherwise clear.
With 5 tools, the set is well-scoped for a brand name evaluation service. It covers individual checks and a composite scoring function without redundancy.
The tools cover key evaluation dimensions (domain, trademark, social, AI findability, and composite score). Minor gaps might include language-specific checks or URL verification, but core workflows are supported.