x402-token-price
x402-token-price: x402-token-price — utility service
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| token | No | Token to process | |
| address | No | Address to process |
x402-token-price: x402-token-price — utility service
| Name | Required | Description | Default |
|---|---|---|---|
| token | No | Token to process | |
| address | No | Address to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only labels the service a 'utility service' and reveals nothing about side effects, data sources, rate limits, input constraints, or return 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?
The text is short but not concise in a useful way: it repeats 'x402-token-price' twice and adds only the empty label 'utility service'. This is under-specification rather than economical communication.
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?
With no annotations, no output schema, vague parameters, and a huge sibling set, the description is far too thin for an agent to call the tool correctly. It omits what token format is accepted, what the address is for, and what a successful response looks like.
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 of 3 applies even though the tool description itself adds no parameter semantics. However, the schema descriptions 'Token to process' and 'Address to process' are vague and add only minimal meaning.
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 simply restates the tool name verbatim ('x402-token-price: x402-token-price — utility service') with no verb or actionable explanation. It never states that the tool retrieves or computes a token price, so an agent cannot determine what operation it invokes.
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. With close siblings like x402-crypto-price, x402-dex-price, x402-poly-price, x402-stock-price, and x402-token-market, an agent has no basis for selecting this specific tool.
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.