x402-crypto-price
Crypto Price: Current crypto price (CoinGecko).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| vs | No | Vs to process | |
| ids | No | Ids to process | |
| coins | No | Coins to process | |
| currency | No | Currency to process |
Crypto Price: Current crypto price (CoinGecko).
| Name | Required | Description | Default |
|---|---|---|---|
| vs | No | Vs to process | |
| ids | No | Ids to process | |
| coins | No | Coins to process | |
| currency | No | Currency to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Current crypto price (CoinGecko),' offering no information about read-only behavior, rate limits, response format, supported coin identifiers, or any caveats about the data being a live snapshot versus a delayed quote.
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 extremely compact and front-loaded: 'Crypto Price: Current crypto price (CoinGecko).' The 'Crypto Price:' prefix slightly restates the tool name, but the sentence is otherwise free of filler and quickly conveys the core purpose and data source.
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?
The description is too thin for a tool with four ambiguous optional parameters, no output schema, and numerous overlapping crypto-related siblings. It does not explain return values, how 'current' is defined, or how to disambiguate inputs when several similar tools exist.
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 reports 100% parameter description coverage, each description is a generic placeholder like 'Vs to process' or 'Ids to process.' These add no real meaning and leave the relationship between vs, ids, coins, and currency ambiguous. The tool description itself contributes nothing to clarify what values these parameters accept or how they interact.
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 states a specific action and resource: retrieving the current crypto price from CoinGecko. This is clear enough for basic understanding, but it does not differentiate the tool from closely related siblings such as x402-token-price, x402-crypto-brief, or x402-market-cap.
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?
No guidance is given on when to choose this tool over alternatives. The only contextual clue is the parenthetical 'CoinGecko,' which identifies the data source but does not explain when this tool is preferred over x402-token-price, x402-crypto-fiat, or similar crypto pricing siblings.
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.