x402-eps
Eps: Calculate Earnings Per Share: net income divided by number of shares. Provide netIncome and shares.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Eps: Calculate Earnings Per Share: net income divided by number of shares. Provide netIncome and shares.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the behavioral disclosure burden. It honestly states the computation and the inputs, but it does not mention output format, error handling, or edge cases. For a pure calculation this is minimally adequate, though not rich.
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 one concise sentence with the formula and required inputs and contains no fluff beyond the formula. The leading 'Eps:' is redundant and the phrasing is slightly clunky, so it is not a perfect 5.
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 simple calculator, the formula and named inputs are largely sufficient, but the empty schema means the actual invocation contract is not specified, and output format/units are omitted. There is no output schema or annotations to compensate for these gaps.
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 description names netIncome and shares, which is semantically useful, but the input schema declares zero properties, so an agent cannot construct a valid invocation with those arguments. The mismatch between required inputs in prose and an empty schema significantly undermines the description's value.
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 clearly states the tool calculates Earnings Per Share using the formula net income divided by number of shares, and it explicitly lists the inputs needed. It does not explicitly distinguish itself from sibling financial ratios, but the EPS formula is specific enough to avoid major confusion.
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?
The description implies when to use: whenever EPS is needed and net income plus share count are known. It provides no explicit when-not-to-use guidance or alternative tools, so the agent must infer the boundary conditions from context.
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.