x402-percent-yield
Percent Yield: Percent Yield
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Percent Yield: Percent 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 formula, no domain, no side effects, and no return format. The bare restatement of the name adds no behavioral context whatsoever.
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?
At three words the description is short, but this is under-specification rather than conciseness; no sentence earns its place because the text merely duplicates the tool name. A useful definition would front-load a verb and state what is calculated.
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 no annotations, no parameters, and no output schema, the description is the only information source and it is completely inadequate. An agent cannot determine the domain, the inputs it needs, or what it returns, and the large sibling list of percent/yield tools makes the ambiguity actively confusing.
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 input schema is empty (0 properties) with 100% coverage, so there are no parameters to document or misunderstand. Per the 0-parameter baseline, the description does not need to add parameter detail, though it also fails to clarify whether any implicit inputs are expected.
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 'Percent Yield: Percent Yield' is a pure tautology that merely restates the tool name twice with no verb, resource, or explanation of what the tool computes. It provides no way to distinguish this tool from the many percent/yield siblings such as x402-percent, x402-percentage-change, x402-percent-composition, or x402-yield-to-maturity.
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 offers zero guidance on when to use this tool versus alternatives. There is no context, no exclusion, and no indication of whether this refers to chemistry percent yield (actual/theoretical × 100) or a financial yield calculation, leaving an agent with no basis for 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.