x402-api-review
API Review: Review API design. 🆓 5 free trial calls per registered wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| api | No | Api to process | |
| code | No | Code to process | |
| spec | No | Spec to process |
API Review: Review API design. 🆓 5 free trial calls per registered wallet
| Name | Required | Description | Default |
|---|---|---|---|
| api | No | Api to process | |
| code | No | Code to process | |
| spec | No | Spec to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry behavioral detail, but it only discloses the free-trial quota. It does not state whether the operation is read-only, what inputs are expected, or what output form is returned, leaving the agent to infer the tool's 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?
Very short and to the point, front-loading the purpose. The 'API Review:' prefix is slightly redundant with the tool name, but the note about free trial calls is kept at the end without waste.
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 tool with three optional parameters, no output schema, and many similar siblings, the description is too thin. It doesn't explain how to choose among api/code/spec, what a valid request looks like, or what the review result is, making correct invocation uncertain.
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?
All three parameters are described in the schema (100% coverage), so the baseline applies. The description's 'API design' phrase hints at the domain but adds no detail about how api, code, and spec parameters relate or should be provided beyond the schema's minimal text.
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?
States a clear verb and resource ('Review API design'), distinct from the code-review sibling at a glance. It is brief but unambiguous about what the tool operates on, though it doesn't explicitly contrast with other review 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?
Provides no guidance on when to use this tool versus x402-ai-code-review, x402-ai-diff-review, or x402-api-key-detect. No alternatives, prerequisites, or contextual triggers are mentioned.
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.
The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.
Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.
1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.
The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.