x402-earnings-yield
Earnings Yield: Earnings Yield
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Earnings Yield: Earnings Yield
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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, and it discloses nothing: no side effects, no data source, no required context, no return format. It is not misleading, but it is entirely vacuous—an agent learns nothing about what invoking this tool entails.
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?
This is under-specification rather than conciseness: a 4-word tautology that appears to be an auto-generated placeholder ('X: X' pattern). It earns credit for being short, but the brevity carries no informational value.
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?
Completely inadequate: no parameters, no annotations, no output schema, and a vacuous description leave an agent unable to determine inputs, outputs, or purpose. In a catalog of over 1000 sibling tools with many near-duplicate financial metrics, this definition gives nothing usable.
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?
There are 0 parameters, which earns a baseline of 4 since the schema has nothing to document. However, earnings yield is a computed ratio that needs inputs (e.g., price and EPS), and the description fails to explain how inputs are supplied for a no-param tool, so a slight deduction is warranted.
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 'Earnings Yield: Earnings Yield' is a pure tautology that restates the tool name. It contains no verb or action, and provides nothing to distinguish this from dozens of finance siblings like x402-eps, x402-price-earnings, or x402-current-yield.
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 zero guidance on when to use this tool, what problem it solves, or how it differs from closely related siblings such as x402-pe-ratio, x402-dividend-yield, and x402-yield-to-maturity. An agent browsing the sibling list cannot infer when this is the right choice.
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.