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

With no annotations, the description carries the full burden and does well: it discloses the price ($0.001 USDC), the relative cost/latency versus read_url, the de-duplication and absolute-link-only filtering behavior, and the return shape. It omits auth requirements, rate limits, and failure behavior, which keeps it from a 5.

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?

Three short, front-loaded fragments: selection condition first, then comparative cost, then concrete input→output example. Every clause carries information and nothing is padded.

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 one-parameter read tool with no output schema, the description supplies the return shape, the cost, and the alternative, which is nearly everything an agent needs to call it correctly. Only error/empty-result behavior and auth expectations are left unspecified.

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 coverage is 0% and the single 'url' parameter has no description in the schema. The example implies it is the page URL to scrape, but the description adds no format, scheme, or edge-case guidance (redirects, relative-link base, non-HTML inputs) beyond that hint.

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 the resource and scope precisely: de-duplicated absolute links (crawl maps), and the inline example '{url} → {count, links:[{url,text,internal}]}' makes the input and output explicit. The verb 'extract' is only implied via the tool name, but an agent can tell this apart from read_url at a glance.

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?

'Use this when you only need de-duplicated absolute links' gives a clear positive selection condition, and 'Cheaper/faster than read_url' names the sibling alternative with a comparative rationale. It stops short of an explicit exclusion ('use read_url when you need page text'), but the routing is strongly implied.

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