x402-decrease-by-percent
Decrease By Percent: Decrease By Percent
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Decrease By Percent: Decrease By Percent
| 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. The description discloses nothing: no effect, no inputs, no outputs, no side effects, no preconditions. It is entirely non-informative about the tool's runtime 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 short, but it is not meaningfully concise—it merely repeats the tool name, wasting the available space. A proper tool description would invest this length in explaining functionality. This is under-specification, not conciseness.
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?
Given no annotations, no output schema, and a tautological description, the agent has absolutely no understanding of what this tool does, how to call it, or what to expect in return. Even for a zero-parameter helper, a minimal functional description is required; none is present.
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 0 parameters and an empty schema, there are no parameter semantics to document. The baseline for 0-param tools is 4 since the schema covers everything there is to cover. The description does not need to add parameter meaning because no parameters exist.
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 'Decrease By Percent: Decrease By Percent' is a pure tautology—it restates the tool name without adding any action, resource, scope, or behavior. There is no verb-object structure that tells an agent what this tool actually does, and it is indistinguishable from sibling tools like x402-increase-by-percent or x402-percent.
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 gives zero guidance on when to use this tool versus alternatives. Notably, the sibling list includes x402-increase-by-percent, x402-percentage-change, and x402-percent, but no distinction is drawn. An agent cannot decide between these tools based on this description.
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.