x402-proportion-of
Proportion Of: Proportion Of
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Proportion Of: Proportion Of
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure, and it discloses nothing. There is no mention of what the tool computes, what its output looks like, whether it is a read-only operation, or any side effects. The description is entirely non-informative 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 not concise; it is redundant noise, repeating the tool name verbatim twice. Unlike a sparse but informative one-liner, this provides zero informative content while consuming token space. This is under-specification masquerading as brevity, and the repetition of the identical phrase makes it actively unhelpful.
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 definition is completely inadequate: no annotations, no output schema, empty input schema, and a tautological description. An agent cannot determine the tool's operands, return value, or use case. The tool name suggests a proportion calculation, but nothing in the definition confirms this or explains the void in the parameter schema.
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 tool has 0 parameters and schema coverage is 100%, so there is nothing for the description to document at the parameter level. Per the baseline for zero-parameter tools, this dimension is not a gap, though the empty schema itself (for a proportion calculator that would presumably need numerator/denominator inputs) is a design oddity that the description fails to explain.
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 'Proportion Of: Proportion Of' is a pure tautology that restates the tool name without adding any information about what the tool does, what inputs it operates on, or what output it produces. With dozens of similar siblings like x402-percentage-of, x402-percent-of, x402-percent-of-value, and x402-ratio-of, an agent has no way to distinguish this tool from its neighbors.
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 provides zero guidance on when to use this tool versus alternatives. Given the dense cluster of proportion/percentage/ratio siblings, the absence of any selection criteria leaves the agent to guess which tool is appropriate.
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.