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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the description only needs to add behavioral context. It does so by disclosing kind-dependent output semantics, counts, state filtering thresholds, and that data hubs are file-backed with no database needed. This adds meaningful value beyond the annotations.

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 dense but front-loaded: it states the core purpose first, then maps each kind to its meaning. It is a single long sentence with semicolon-separated clauses, which packs information efficiently but could be more readable as a structured list. No filler words are present.

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 description covers all required parameter values, URL formats, and filtering rules, which is enough for an agent to invoke the tool correctly. It does not specify the exact return format or the effect of the optional 'limit' parameter, but the described 'list pages with counts' gives a reasonable expectation given no output schema.

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%, so the description must compensate. The 'kind' parameter is fully explained with concrete URL patterns and conditions for every enum value. The 'limit' parameter is not described, but its schema already provides default, minimum, and maximum, making it reasonably self-explanatory.

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 providing citable list pages (hub URLs) on ranked.ng, with counts. It enumerates the four kinds (category, city, state, data) and shows URL patterns, making the resource and scope specific. It does not explicitly contrast with siblings, but the resource and use-case are unambiguous.

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 states the intended use case: list pages an assistant can cite, with counts. It gives clear context for when to use the tool and what each kind yields, including conditions such as states with at least 25 operational listings. It does not name alternatives or exclusions, but the context is sufficiently clear.

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