Configure DNS record bundles for services such as Google Workspace, Microsoft 365, Zoho Mail, Resend, and Cloudflare by applying a preset to a target domain.
Configure DNS record bundles for popular services (Google Workspace, Microsoft 365, Zoho Mail, Resend, Cloudflare)
| Name | Required | Description | Default |
|---|---|---|---|
| domain | Yes | Target domain (e.g. 'example.com') | |
| preset | Yes | The DNS preset bundle to apply |
Changes observed during successful MCP inspections.
v2.1.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are supplied, so the description carries the full burden. "Configure" implies a mutation that writes multiple records, but nothing is said about whether existing records are overwritten or merged, whether the operation is idempotent, whether conflicting MX/SPF entries are replaced, or what permissions are needed — all critical for a DNS change that can break mail delivery.
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 zero filler; the resource and the service scope come first. It is a fragment rather than a full sentence, and one clause on effect (e.g. 'creates MX/SPF/DKIM records') would have earned the remaining point.
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?
The tool is simple (2 params, one enum) but it is a write operation with no annotations and no output schema, and the description says nothing about what records are created, what happens to existing records, or what the caller gets back. For a mutation on live DNS, that leaves the agent unable to predict consequences.
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% and both parameters are documented, so baseline 3 applies. The description adds mild value by mapping human-readable service names onto preset bundles (including the Cloudflare case, whose enum value is cloudflare_proxy), but adds no detail on domain prerequisites or preset side effects.
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 ("Configure") and resource ("DNS record bundles") plus the service families covered, which lets an agent distinguish this bulk-preset tool from the granular add_dns_record/edit_dns_record siblings. It never names those siblings explicitly, so the differentiation is implicit rather than stated.
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 list of supported services implies the use case (standing up mail/DNS for a known provider), but there is no explicit when-to-use, no when-not-to-use, and no pointer to add_dns_record for custom or single records. An agent must infer the boundary itself.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.