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

With no annotations, the description carries the behavioral disclosure burden. It adds useful context—ranking by real 30-day payers and returning URL, price, network and description—but omits whether the search itself is free, whether there are rate limits, auth needs, or pagination behavior.

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 front-loaded with the core purpose and stays compact. The second sentence is useful; the list of returned fields is dense but earns its place by signaling what results include.

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 two-parameter search tool with an output schema, the description covers purpose, ranking, and result fields. However, it leaves the input parameters underspecified—especially 'limit'—and does not explain whether the search has any cost or access constraints.

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 explain both parameters. It implies that 'q' is the task query, but never clarifies the query format, and it does not mention the 'limit' parameter or its default at all.

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 uses a specific verb ('Find', 'searches') and resource ('pay-per-call API', 'x402 Bazaar'), and states the ranking basis and returned fields. It is clearly distinguishable from domain-specific search siblings like kalshi_search or app_store_search, which do not discover paid APIs.

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?

It gives a clear usage context: 'Use before choosing which paid tool to call.' That tells the agent when to reach for this tool, but it does not explicitly name alternatives or exclusions, keeping it from a 5.

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