x402-format-currency
Format Currency: Format currency.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Format Currency: Format currency.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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, and it discloses nothing beyond the operation name. It does not explain what output format the tool produces, what defaults it applies, how it behaves with no input parameters, or why it takes zero parameters when a currency formatter would presumably need a value to format.
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 only two short phrases, but this is under-specification rather than conciseness. The sentence does not earn its place because it adds no information beyond the tool name itself.
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 formatter with zero parameters, no output schema, no annotations, and a nearly identical sibling (x402-currency-format), the description is completely inadequate. An agent cannot determine what input to supply, what output to expect, or whether to choose this tool over its siblings.
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?
The tool has zero parameters and the schema is trivially 100% covered, so per the rubric baseline of 4 for zero-parameter tools there is nothing for the description to document. However, the description also fails to clarify how the tool receives the value to format, which is a notable semantic gap that keeps this from a 5.
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 'Format Currency: Format currency.' is a pure tautology that restates the tool name with no additional detail. It identifies the nominal operation and resource but provides zero specifics about what formatting entails (locale, symbols, decimals, negative handling), and it does nothing to distinguish this tool from the sibling x402-currency-format, which appears functionally identical.
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. Given the sibling list contains x402-currency-format, x402-accounting-format, x402-format-decimal, and x402-format-percent, an agent has no way to determine which formatting tool to select for a given task.
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.