x402-ping
Ping: HTTP ping a URL: returns status code and latency with SSRF protection.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| host | No | Host to process | |
| target | No | Target to process |
Ping: HTTP ping a URL: returns status code and latency with SSRF protection.
| Name | Required | Description | Default |
|---|---|---|---|
| host | No | Host to process | |
| target | No | Target to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the behavioral burden. It adds value by disclosing SSRF protection and the return contents (status code, latency), which is useful context for a network-calling tool. It does not disclose timeouts, redirect behavior, external side effects, auth needs, or rate-limit implications, so significant gaps remain.
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 compact sentence that front-loads the core action and key outputs. The leading 'Ping:' label adds little beyond the tool name, but overall there is almost no 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?
This is an external network-facing tool with no annotations and no output schema, so the description is the only signal an agent has. It fails to clarify parameter usage, safety expectations, when to choose this tool, or the format of the status code and latency results. The basic idea is present, but the operational details an agent needs to call it correctly are missing.
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?
Although the schema claims 100% description coverage, the actual parameter descriptions are generic boilerplate ('Host to process' and 'Target to process') and provide no real semantics. The tool description mentions a URL but never explains how 'host' and 'target' map to that URL, which is critical for correct invocation.
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 action (HTTP ping), the resource (a URL), and the outputs (status code and latency), so an agent can understand the basic purpose. It does not explicitly differentiate from similar siblings like x402-ping-check or x402-http-analyze, but the 'ping' framing is reasonably specific.
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?
Usage is implied: an agent can infer this is for checking URL reachability and latency. However, there is no guidance about when to prefer this over related tools like x402-fetch, x402-web-scrape, or x402-http-analyze, and no exclusions or warning are provided.
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.