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

Annotations already declare the write/open-world/non-idempotent profile, but the description adds substantive context beyond them: the request is free, gets screened, and carries a US$10 setup fee plus per-call pricing if accepted. That cost and eligibility disclosure is exactly the kind of value structured fields lack. It does not describe turnaround time or the rejection flow.

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 tight sentences with the key hook ('Free to ask') front-loaded, then the screening and cost model. No sentence is wasted and nothing is buried.

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 request-submission tool with an output schema (so return values needn't be explained) and full schema coverage, the description is largely complete: purpose, cost, and eligibility are all present. Minor gaps remain around what happens after acceptance or expected timing.

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% and all five parameters are documented there, so the schema carries the load. The description does not add syntax, format, or meaning beyond what the schema already states, making the baseline 3 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?

States a specific verb and resource: 'request that one public website or registry be turned into a clean JSON endpoint you can call.' An agent immediately understands this creates an API-ification request, distinct from sibling read/search tools like read_pages or web_search.

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?

'Free to ask' sets the entry cost, and the screening criteria (no logins, CAPTCHAs or personal data; robots.txt respected) effectively define when a request qualifies and when it won't. It gives clear qualifying context but does not explicitly name alternative tools (e.g., read_pages, find_paid_tools) for cases that don't qualify.

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