Compares an x402 endpoint's price (or a given price/category pair) against market percentiles from our daily radar snapshot of the x402 ecosystem.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| category | No | ||
| priceUsd | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description mentions the 'daily radar snapshot' as a data source, implying a read-only comparison operation. However, it does not disclose the output format, potential errors, rate limits, or any behavioral traits beyond what is inferred. With no annotations provided, the description carries full burden but provides only minimal behavioral context.
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 a single, concise sentence that starts with the action verb 'Compares' and contains no extraneous information. It is well-structured and front-loaded.
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?
Given the lack of an output schema and annotations, the description is incomplete for an agent to invoke the tool correctly. It does not specify the output format, how to handle the optional parameters, or what constitutes a valid price/category pair. The description explains the core purpose but leaves critical invocation details unspecified.
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 description adds meaning beyond the schema by explaining two modes: either an endpoint URL or a price/category pair. This clarifies how the three parameters (url, category, priceUsd) relate, even though the schema itself has no descriptions. It does not explicitly state parameter combinations or requirements, but it provides useful semantics.
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 states the tool's function: 'Compares an x402 endpoint's price (or a given price/category pair) against market percentiles from our daily radar snapshot.' It specifies the verb, the resource, and the data source, making it distinct from sibling tools.
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 provided on when to use this tool versus the sibling tools (check_endpoint, reseller_check). The description only implies it is for price comparison but lacks context on prerequisites, exclusions, or alternative choices.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool has a clear primary purpose: full diligence, price comparison, and reseller detection. However, check_endpoint subsumes the functionality of the other two, which could cause some confusion about which tool to use when only a specific check is needed.
Two tools follow the verb_noun pattern (check_endpoint, compare_price), while reseller_check deviates by using noun_noun. This is a minor inconsistency but the intent remains clear.
With only three tools, the server is tightly scoped for its purpose. Each tool earns its place by offering a distinct level of diligence, from full evaluation to targeted checks.
The domain of x402 endpoint diligence is fully covered: comprehensive checking, market pricing, and reseller identification. No obvious missing functionality for the stated purpose.