Domain Status
domain_statusCheck if a domain is a webmail provider or disposable email service
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | The domain name (e.g., 'stripe.com') |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes |
domain_statusCheck if a domain is a webmail provider or disposable email service
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | The domain name (e.g., 'stripe.com') |
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes |
Changes observed during successful MCP inspections.
Output schema / (root)Previous value: -nullNew value: +{
+ "$schema": "http://json-schema.org/draft-07/schema#",
+ "additionalProperties": false,
+ "properties": {
+ "data": {}
+ },
+ "required": [
+ "data"
+ ],
+ "type": "object"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, so the description does not need to restate safety guarantees. It adds a little context by specifying the nature of the check, but it does not describe output format, edge cases, or any other behavioral details beyond the annotations.
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?
The description is a single clear sentence with no filler. The key action and subject are front-loaded, making it easy to parse quickly.
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 one-parameter read-only lookup with an output schema and annotations already provided, the description covers the essential semantics. It could be slightly more complete by naming possible outcomes, but the output schema likely handles that.
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?
The input schema already fully documents the single domain parameter with an example and a pattern. The description does not add meaningful detail beyond what the schema provides, so the baseline score of 3 applies.
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 uses a specific verb ('Check') and clearly names the resource and purpose: determining if a domain is a webmail provider or disposable email service. It is not a tautology, and while it does not explicitly name sibling tools, its intent is distinct from related tools like email_verifier or domain_search.
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?
The description implies the use case: call this when you need to know whether a domain is webmail or disposable. However, it provides no explicit guidance about when not to use it or which sibling tool might be a better alternative, so usage guidance is only implicit.
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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