x402-guardian
x402-guardian: Security guardian service. ๐ 5 free trial calls per registered wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| target | No | Target to process |
x402-guardian: Security guardian service. ๐ 5 free trial calls per registered wallet
| Name | Required | Description | Default |
|---|---|---|---|
| target | No | Target to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, and it does little. It mentions 5 free trial calls per registered wallet, implying registration/wallet-based gating, but does not explain side effects, required authentication, rate limits beyond the trial, or what happens on success or failure.
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 short and not bloated, but most of its content restates the tool's name or adds marketing flavor. The free-trial detail is useful context, yet overall the sentence carries very little operational information. It is concise in length but not in substance.
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 one vague string parameter, no output schema, and no annotations, the description needed to clarify what target should contain and what 'security guardian' does. Instead it leaves the core semantics unexplained. An agent receiving this definition could not reliably construct a valid call.
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. The description adds no meaning to the parameter beyond what the schema already says; 'Target to process' remains ambiguous. Since the schema covers the parameter, the description is not penalized further, but neither does it enrich the 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 labels the tool as a 'Security guardian service' but never states a concrete verb, action, or resource it operates on. 'Target to process' in the schema is equally vague, so an agent cannot tell what this tool actually does or how it differs from the many other security-related 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?
There is no guidance about when to use this tool, what kind of input 'target' expects, or which sibling tools might be alternatives. The free-trial mention is billing context, not usage guidance. An agent gets no help deciding between this and tools like secret-scan, swap-safety, or token-security.
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.