Dnsverify
dnsverifyTXT Verifications: Which SaaS a domain is enrolled in (TXT tokens)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
dnsverifyTXT Verifications: Which SaaS a domain is enrolled in (TXT tokens)
| Name | Required | Description | Default |
|---|---|---|---|
| q | No |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden of explaining behavior. It communicates that the tool inspects TXT tokens and maps them to SaaS enrollments, which is useful. However, it does not clarify whether it performs a live DNS lookup, whether it only detects known token formats, or whether it provides any raw TXT output.
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 very short and puts the core concept first. It wastes little space, though the phrase 'TXT Verifications' and the parenthetical '(TXT tokens)' are somewhat redundant, and the fragment structure is less crisp than a full imperative sentence.
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 tool with one optional parameter and an output schema, the description covers the primary purpose but not the input parameter contract or usage boundaries. An agent could likely infer q=domain, but the lack of explicit parameter guidance and alternatives leaves noticeable gaps.
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 schema only defines an undocumented 'q' string with 0% description coverage. The tool description does not explicitly say 'q is the domain to check,' but the phrase 'a domain is enrolled in' strongly implies the input is a domain name. This adds some meaning beyond the bare schema, though accepted formats and default behavior remain unspecified.
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 identifies the tool's focus: determining which SaaS a domain is enrolled in via TXT verification tokens. It differentiates itself from sibling DNS tools like dnsquery or dnsrecon by pointing at TXT-token-based SaaS enrollment. It lacks an explicit active verb, but the purpose is reasonably clear.
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 tool is for checking SaaS enrollment through TXT tokens, but it gives no explicit when-to-use versus alternatives such as dnsquery, dns, or dnsrecon. There is no exclusion guidance or mention of prerequisites, 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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