x402-liveness-check-v1
x402-liveness-check-v1: Service liveness probe. ๐ 5 free trial calls per registered wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| target | No | Target to process | |
| expectStatus | No | ExpectStatus to process |
x402-liveness-check-v1: Service liveness probe. ๐ 5 free trial calls per registered wallet
| Name | Required | Description | Default |
|---|---|---|---|
| target | No | Target to process | |
| expectStatus | No | ExpectStatus to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It calls itself a 'liveness probe', implying a read-only network check, but does not describe what is checked, what the response looks like, failure behavior, or any side effects. The trial-call note adds a small amount of context, but key behavior remains unspecified.
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 brief and front-loaded with the core purpose. The emoji and trial-call note are low-cost extras. The repetition of the tool name ('x402-liveness-check-v1:') is slightly redundant but not harmful.
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 no annotations, no output schema, and two parameters that semantically overlap with many sibling tools, the description leaves the agent to guess what 'target' means, what value 'expectStatus' should take, and what the successful/unsuccessful response looks like. It is minimally enough for a human but not sufficient for confident agent invocation.
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 100%, so the baseline is 3 even though the description itself adds nothing about 'target' or 'expectStatus'. The schema descriptions are generic ('Target to process', 'ExpectStatus to process') and the tool description provides no further meaning, but per the rubric the high coverage keeps this at the baseline.
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 phrase 'Service liveness probe' names a specific verb (probe), resource (service), and intent (liveness), which is clear. However, it largely restates the tool name and does not distinguish itself from sibling health/up-time tools like x402-rpc-health, ping-check, or service_discovery.
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?
There is no guidance on when to use this tool instead of alternatives. The only usage-related note is '5 free trial calls per registered wallet', which is a limit/restriction, not a selection criterion. No exclusions or alternative tool names 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.