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

There are no annotations, so the description must carry the behavioral disclosure burden. It reveals the output subject but does not explain query behavior, limitations, whether q expects an ASN or free text, or what an empty/default query returns.

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 text is extremely compact and front-loads the main identifiers (AS Rank, CAIDA, ranking, customer cone). It loses a point only for being a verbless fragment rather than a complete tool statement.

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?

Although the output schema covers return shape and the tool has only one optional parameter, the critical q parameter is undocumented and no invocation context is given. The description is too thin for an agent to use confidently.

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 schema has a single q parameter with 0% description coverage, and the description does not mention q at all. The agent cannot learn what value to pass (e.g., an ASN, organization name, or rank position) from either source.

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 identifies the tool as CAIDA AS Rank and specifies the domain data returned: global ASN ranking and customer cone size. It communicates enough to distinguish it from generic ASN lookup siblings, though it lacks an explicit verb.

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?

No guidance is given about when to choose AS Rank over nearby tools like asn, asnlookup, asnprefixes, or peeringdb. The use case is only implied by the data keywords; no exclusions or alternatives are mentioned.

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