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

With no annotations provided, the description carries the behavioral disclosure burden. It usefully warns that the API key and secret will be visible in the AI conversation context and explains the authentication prerequisite. It does not disclose what happens after connection (e.g., whether credentials are validated, overwritten, or stored), but the most important side-effect and security trait are covered.

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 concise and front-loaded: the core purpose is in the first sentence, followed by a security-relevant warning and access instructions. Every sentence adds value and there is no redundant filler.

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 credential-connecting tool with no output schema and no annotations, the description covers the essential invocation context: purpose, required account, authentication flow, and a security caution. It is slightly incomplete in that it does not describe expected return behavior or failure modes, but the provided context is sufficient for an agent to attempt the call correctly.

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 description coverage is 100%, so all three parameters (id, api_key, api_secret) are already documented in the schema. The description adds no new parameter-level meaning beyond mentioning that API key and secret will be visible, so the baseline of 3 is appropriate.

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 states a specific verb and resource: 'Connect GoDaddy API credentials to a domain for automated DNS record management.' It clearly identifies the provider (GoDaddy), the action (connect credentials), and the purpose (automated DNS management), and is readily distinguishable from siblings like connect_cloudflare and connect_dns_provider.

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 provides explicit prerequisites and a usage sequence: it requires a Proof account, instructs the agent to authenticate the client or use start_login, and notes that a session opens the tool before calling it again. It does not explicitly state when not to use it or contrast it with connect_dns_provider/connect_cloudflare, but the context is clear enough for the GoDaddy case.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.