x402-funding-rate
x402-funding-rate: Perpetual funding rates. 🆓 5 free trial calls per registered wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| pair | No | Pair to process | |
| symbol | No | Symbol to process |
x402-funding-rate: Perpetual funding rates. 🆓 5 free trial calls per registered wallet
| Name | Required | Description | Default |
|---|---|---|---|
| pair | No | Pair to process | |
| symbol | No | Symbol to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are entirely absent, so the description carries the full burden of behavioral disclosure. It does disclose a usage limit ('5 free trial calls per registered wallet'), but it fails to state whether the operation is read-only, whether authentication or wallet registration is required, how errors surface, or what response shape to expect. The trial note is useful but far from sufficient.
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 very short, front-loads the core concept, and includes a concise, useful note about the free trial. The repetition of the tool name as a prefix is slightly redundant but harmless. It earns its place with minimal waste.
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 two optional-looking parameters, no output schema, and no annotations, this description is too sparse to support correct invocation. It leaves unanswered what pair/symbol format should look like, whether either parameter is required, what time period or market the rate refers to, and what the return payload contains. The trial note is the only operational detail, leaving critical gaps for an agent.
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 schema descriptions 'Pair to process' and 'Symbol to process' are tautological and provide no format, relationship, or requiredness information. The tool description adds zero parameter context—no examples, no clarification of pair vs symbol, no guidance on which parameter to use. Despite 100% schema description coverage, the semantic value is near zero, and the description does not compensate.
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 identifies the resource as perpetual funding rates, which is a specific domain and distinguishes it from many unrelated siblings. However, it lacks a verb or explicit action such as fetch, get, or calculate, so the agent must infer that the tool returns or queries funding rate data. It does not clearly differentiate from other crypto market-data siblings like price or fear-greed tools beyond naming the metric.
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 provided on when to use this tool versus alternatives. There is no mention of pair/symbol selection, prerequisites, or what conditions make this tool the right choice. The only added context is a trial-call limit, which offers no decision support for tool selection.
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.