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

No annotations are provided, so the description carries the full burden. It discloses cost ($0.05 per call), payment method (x402 USDC on Base), and authentication requirements ('no account, no API key'). However, it does not disclose failure modes, error handling, rate limits, or response format, leaving gaps in behavioral expectations.

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 front-loaded with the core purpose, then expands on detected categories and use cases. While it includes pricing and marketing details, these are relevant for usage context. It is well-structured but slightly verbose.

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 with one parameter and no output schema. The description explains inputs and use cases but does not describe the output format or structure, leaving the agent unsure what to expect from the tool's response.

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% with a clear description for the 'domain' parameter. The tool description adds context by specifying 'Give it a domain' and providing example format, but adds no significant meaning 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 tool's purpose: 'Detect the technology stack behind any website.' It lists specific technologies detected (CMS, e-commerce, etc.) and differentiates from sibling tools like 'dns' or 'whois' by focusing on web tech stack detection.

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 clear use cases: 'Great for technographics, competitor research and enriching sales leads.' It implies when to use this tool but does not explicitly exclude alternatives among siblings, though the focus on tech stack is distinctive.

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