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connect_godaddy

Destructive

Connect GoDaddy API credentials to a domain for automated DNS record management. Note: the API key and secret will be visible in the AI conversation context.

ACCESS: needs a Proof account. Authenticate this client (Claude Code: /mcp → Authenticate), or sign in with start_login — a session opens this tool — then call this tool again.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDomain ID
api_keyYesGoDaddy API key
api_secretYesGoDaddy API secret

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations declare destructiveHint=true and readOnlyHint=false, and the description adds genuinely new context: the security disclosure that 'the API key and secret will be visible in the AI conversation context' plus the authentication flow. It stops short of explaining what the destructive hint means in practice (e.g., whether existing DNS credentials or records are overwritten).

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-loads purpose, then a security note, then an actionable access block. Every element is useful, though the parenthetical CLI instructions make it slightly longer than a pure description needs to be.

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

Completeness4/5

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

For a credential-binding tool with no output schema, the description covers purpose, the sensitive-data warning, and the authentication prerequisite well. It omits what happens on success/failure and whether an existing GoDaddy connection is replaced, which matters given the destructive annotation.

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

Parameters3/5

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

Schema description coverage is 100% with three self-documenting parameters (id, api_key, api_secret), so the schema already carries the semantics. The description adds no format, sourcing, or provenance detail for the credentials, giving baseline performance only.

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 ('Connect'), resource ('GoDaddy API credentials'), target ('a domain'), and outcome ('automated DNS record management'). This is clearly distinguishable from siblings like connect_cloudflare, connect_dns_provider, and create_dns_credential, which an agent could otherwise confuse.

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

Usage Guidelines4/5

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

The ACCESS block gives concrete preconditions and a recovery path ('needs a Proof account', '/mcp → Authenticate', or 'sign in with start_login ... then call this tool again'). It does not, however, contrast this tool against the other provider-connection or credential-creation siblings, so the agent must infer when GoDaddy-connect is correct.

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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