x402-egyptian-fraction
Egyptian Fraction: Egyptian fraction decomposition.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Egyptian Fraction: Egyptian fraction decomposition.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist to carry the safety or side-effect profile, and the description reveals nothing beyond the bare concept. It does not disclose whether the tool computes a greedy expansion, accepts a numerator and denominator, handles improper fractions, returns a formatted string, or has any limits. The agent has zero transparency about behavior.
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 technically short, but this is under-specification rather than effective concision. 'Egyptian Fraction: Egyptian fraction decomposition' is a single phrase that adds no information beyond the tool name. It earns no credit for structure or front-loading because there is no informative content.
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 math tool with a huge sibling family, no parameters, no annotations, and no output schema, the description is vastly incomplete. An agent cannot know how to call it, what it expects, or what it returns. It is essentially a label with no operational information.
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?
With zero parameters, there is nothing for the description to clarify semantically; the tool likely takes input through some other channel or the schema is incomplete. A 4 reflects that a zero-param schema cannot be compensated by description, but the description could have explained how input is supplied; it does not. The 0-param baseline is 4.
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 is essentially a tautology: 'Egyptian Fraction: Egyptian fraction decomposition.' It names the mathematical concept but says nothing about what operation is performed, what input is expected, or what output is produced. It does not distinguish this tool from any of the hundred-plus x402-* siblings.
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 about when to use this tool versus alternatives. With siblings like x402-decimal-to-fraction, x402-continued-fraction, and other math tools, an agent cannot determine when Egyptian fraction decomposition is the right choice. No context, prerequisites, or exclusions are provided.
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.