domains_suggestDomainNamesFromADescriptionV1

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

With no annotations, the description adds useful behavioral context: suggestions are AI-generated and differ between calls, and the endpoint has a rate limit of 90 requests per minute. These go beyond basic purpose, though it doesn't clarify whether suggestions are actually verified for availability or mention authentication needs.

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 four short sentences, front-loaded with the main purpose. Each sentence adds value: purpose, AI variability, rate limit, and usage guidance. There is no filler or redundant content.

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 simple tool with two parameters and no output schema, the description covers the essential context: what it does, when to use it, rate limit, and non-determinism. It doesn't describe the response format, but that is less critical given the tool's simplicity and lack of output schema.

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 input schema already fully describes both parameters (100% coverage), so the description adds limited semantic value. It does clarify that 'description' is a free-text project description and 'limit' is the count of suggestions, but provides no constraints, defaults, or examples beyond the schema.

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 states the action: 'Suggest available domain names based on a free-text description of your project.' The verb 'Suggest' and resource 'domain names' are explicit, and the final sentence ('when you only know what the website is about') distinguishes it from domain-based suggestion tools.

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?

It provides explicit when-to-use guidance: 'Use this endpoint to find a domain name when you only know what the website is about.' This sets the context and differentiates from domain-based alternatives, though it doesn't name the sibling tool directly or state when not to use it.

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