MCP Domain Availability Server
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation4/5
The two tools have clearly distinct purposes: one checks a single domain, while the other handles multiple domains. The descriptions reinforce this distinction, making misselection unlikely. However, the similarity in core functionality could cause minor confusion if an agent needs to decide between them for a single domain.
Naming Consistency5/5Both tools follow a consistent verb_noun pattern with 'check_' prefix and snake_case naming. The naming is predictable and readable, with no deviations in style or convention across the tool set.
Tool Count3/5With only 2 tools, the server feels thin for a domain availability service. While the tools cover basic availability checks, the scope is limited, and more operations (e.g., domain suggestion, registration status, or pricing) might be expected. This borderline count could hinder agent workflows.
Completeness2/5The tool set is significantly incomplete for a domain availability server. It lacks essential operations such as domain suggestion, registration initiation, pricing lookup, or WHOIS details retrieval. Agents will face dead ends when trying to perform common domain-related tasks beyond basic availability checks.
Average 3.7/5 across 2 of 2 tools scored.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add
glama.jsonto the root of your repository:{ "$schema": "https://glama.ai/mcp/schemas/server.json", "maintainers": [ "your-github-username" ] }Then . Browse examples.
Add related servers to improve discoverability.
How to sync the server with GitHub?
Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.
To manually sync the server, click the "Sync Server" button in the MCP server admin interface.
How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It mentions the tool returns 'results for all domains with summary statistics,' which adds some behavioral context about output. However, it lacks details on rate limits, error handling, authentication needs, or what 'availability' means (e.g., registration status). For a tool with no annotations, this is a significant gap in transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is highly concise and front-loaded, consisting of two sentences that efficiently convey the tool's purpose and output. Every sentence earns its place by providing essential information without waste, making it easy to understand quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (batch domain checking), no annotations, and no output schema, the description is minimally adequate. It covers the basic purpose and output format but lacks details on behavioral traits, error cases, or deeper context. With no output schema, it should ideally explain return values more, but it provides enough to be functional with clear gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, with the 'domains' parameter fully documented in the schema. The description adds marginal value by reinforcing the 'up to 50 domains' limit, which is already in the schema description. No additional parameter semantics are provided beyond what the schema covers, so the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Check availability for multiple domains at once' with a specific verb ('check') and resource ('domains'), and mentions the batch capability ('up to 50 domains'). It distinguishes from the sibling 'check_domain_availability' by emphasizing 'multiple domains at once,' but doesn't explicitly contrast them. The purpose is clear but lacks explicit sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context by stating 'at once' and 'up to 50 domains,' suggesting it's for batch operations. However, it doesn't explicitly say when to use this tool versus the sibling 'check_domain_availability' (e.g., for single vs. multiple domains) or provide any exclusions or alternatives. Usage is implied but not clearly defined.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It adds valuable context beyond basic functionality by specifying the methods used ('DNS, RDAP, and WHOIS lookups') and the return information ('availability status and details'). However, it lacks details on rate limits, error handling, or authentication needs, which would be beneficial for a tool performing external lookups.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately sized and front-loaded, consisting of two concise sentences that directly state the tool's purpose, methods, and return values without any redundant information. Every sentence earns its place by providing essential details efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (single parameter, no output schema, no annotations), the description is fairly complete. It covers the purpose, methods, and return information adequately. However, without an output schema, it could benefit from more details on the structure of 'availability status and details' to fully guide the agent, but it provides enough context for basic use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, with the single parameter 'domain' clearly documented in the schema. The description does not add any additional meaning or syntax details beyond what the schema provides, such as format examples or validation rules. Given the high schema coverage, the baseline score of 3 is appropriate as the schema handles the parameter documentation effectively.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Check if a domain name is available for registration'), identifies the resource ('domain name'), and distinguishes it from its sibling 'check_multiple_domains' by implying this tool handles single domains. The verb 'check' and resource 'domain name' are precise and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context through 'Check if a domain name is available for registration,' suggesting this tool is for availability verification. However, it does not explicitly state when to use this versus the sibling 'check_multiple_domains' or provide any exclusions or prerequisites. The guidance is implied but not detailed.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
GitHub Badge
Glama performs regular codebase and documentation scans to:
- Confirm that the MCP server is working as expected.
- Confirm that there are no obvious security issues.
- Evaluate tool definition quality.
Our badge communicates server capabilities, safety, and installation instructions.
Card Badge
Copy to your README.md:
Score Badge
Copy to your README.md:
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/yenyifu/mcp-domain-availability'
If you have feedback or need assistance with the MCP directory API, please join our Discord server