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

No annotations are provided, so the description carries the full behavioral burden. It discloses the detection source ('headers and HTML'), which implies a live fetch, but says nothing about network access, rate limits, behavior on unreachable/parked domains, or whether detection is heuristic and can produce false positives.

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?

Two sentences, zero waste, front-loaded with what is detected before the use-case sentence. Every clause earns its place by naming concrete technologies and categories an agent can match against a query.

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 output schema exists, so return values needn't be described, and the description conveys the breadth of detection categories. The main gap is the input format for `url`, which is left entirely to the schema and is undocumented there.

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 0% for the single required `url` parameter. The description only says 'a website' and does not clarify whether the input should be a full URL with scheme, a bare domain, whether redirects are followed, or whether the path matters. With the only parameter undocumented, the description should compensate and does not.

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?

States a specific verb ('detect') and resource ('technologies a website uses') and enumerates the categories it covers (CMS, frameworks, CDN/hosting, analytics, chat, payments). An agent can distinguish it from the generic http_headers sibling because it explicitly says detection spans both headers and HTML, though it never names a sibling it is not.

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 second sentence gives use cases ('lead qualification, sales prospecting or competitor research'), which implies the right context but doesn't say when to prefer this over http_headers, url_metadata or read_web_page, nor any exclusions or prerequisites.

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