x402-nonce-fetch
Nonce Fetch: Nonce Fetch
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process | |
| address | No | Address to process |
Nonce Fetch: Nonce Fetch
| Name | Required | Description | Default |
|---|---|---|---|
| input | No | Input to process | |
| address | No | Address to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided and the description does not disclose any behavioral traits: no read/write safety, no network dependence, no privacy implications, no failure modes, no rate limits. The description carries a full disclosure burden and meets none of it.
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 text is short, but brevity here comes from under-specification, not conciseness. No information is front-loaded because there is no information at all.
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 a domain-specific tool (nonce fetching, likely network-sensitive) with no annotations, no output schema, and uninformative parameters. For an agent to invoke it correctly, the description must explain the nonce semantics, the meaning of each parameter, and the expected result; none of that is present.
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 schema coverage is marked 100%, the schema descriptions are vacuous placeholders ('Input to process' and 'Address to process') that add no domain meaning. The tool description contributes nothing, leaving the agent unable to determine what 'input' and 'address' should contain.
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 'Nonce Fetch: Nonce Fetch' is a pure tautology that restates the tool name without adding any verb, resource, or scope. It fails to say what fetching a nonce means, in which blockchain context, or what the caller gets back.
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 versus alternatives, no conditions, and no exclusions. Among the sibling list, blockchain tools like x402-eth-recover, x402-rpc, and x402-tx-status exist, but the description offers no routing information.
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.