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 usefully discloses that calls cost $0.005 USDC via x402 and that sample=true bypasses that for a 3-row preview. It does not state whether every route is paid, what happens if payment is missing, rate limits, or the response format.

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-loads the dataset purpose before listing routes and payment details. The semicolon-delimited route list is efficient and free of filler. It is somewhat hard to scan due to the long inline enumeration, but every element appears to serve a purpose.

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?

This is a complex multi-route API with nested parameters, no output schema, and no annotations. The description supplies route names, per-route parameters, pricing, and a free preview, which is enough to invoke a chosen route. However, it does not explain what each route returns or clarify jargon-heavy route names like /mcp and /x402, leaving route selection partly guesswork.

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 100%, so the baseline is 3, but the description adds real value by mapping route-specific parameters such as q, category, host, min_price, max_price, and sort to particular routes. It still does not define the meaning or allowed values of parameters like remote or sort, but the route-parameter association is substantially more than the schema alone conveys.

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 resource as an 'AI Agent Economy Census' covering what agents can buy and at what price. It does not use an explicit retrieval verb, but the route list and parameter structure make the query purpose evident. It is distinguishable from sibling dataset tools such as airports or colors.

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 lists routes and their query parameters, which gives implied usage guidance. However, it does not explain when to choose /mcp versus /x402 versus /summary, nor does it describe what each route is for. The only explicit usage instruction is that sample=true provides a free 3-row preview.

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