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Official Porkbun MCP Server

Ping

ping
Read-onlyIdempotent

Verify the Porkbun API connection and credentials. Returns the caller's public IP, whether the API key is valid, account (the username of the Porkbun account the key belongs to), and scopes: what the key may do (["full"], or a list…

Instructions

Verify the Porkbun API connection and credentials. Returns the caller's public IP, whether the API key is valid, account (the username of the Porkbun account the key belongs to), and scopes: what the key may do (["full"], or a list such as read, dns, domains, email, hosting, purchase, funding, account). A call outside the key's scopes fails with INSUFFICIENT_SCOPE and changes nothing; tell the user rather than retrying, since only they can widen the key's permissions. Use this as a first sanity check before making other calls, and to confirm you are in the account the user means (a domain in another account comes back as DOMAIN_NOT_FOUND, which also names the account).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.1

TDQS

A4.8/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, non-destructive, but the description adds context the annotations cannot: the exact failure mode (INSUFFICIENT_SCOPE), that a failed call 'changes nothing', and the cross-account symptom (DOMAIN_NOT_FOUND naming the account). That is genuine behavioral disclosure beyond structured fields.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the purpose, then returns, then error semantics, then usage — a sensible order. The parenthetical enumeration of scope values is long but load-bearing, since it tells the agent what the returned list can contain. Slightly dense but no sentence is filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, so the description must carry the return contract — and it does, naming each field and the scope enum values. For a zero-param, no-output-schema tool with rich annotations, nothing an agent needs to call it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so per the rubric the baseline is 4. There is nothing to document, and the description correctly spends its space on return values and behavior instead of inventing parameter guidance.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Verify the Porkbun API connection and credentials') and enumerates the exact return payload (public IP, key validity, account, scopes). No sibling tool has this checkpoint role, so it is unambiguously distinguishable from check_domains, get_api_settings, or request_api_key.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says to use it 'as a first sanity check before making other calls' and 'to confirm you are in the account the user means'. It also gives a when-not-to-act instruction: on INSUFFICIENT_SCOPE, tell the user rather than retrying. This covers when, why, and failure handling.

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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