x402-radians-to-degrees
Radians To Degrees: Convert radians to degrees.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Radians To Degrees: Convert radians to degrees.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It only states the conversion operation and omits details like the formula (multiply by 180/π), return format, precision, or edge-case behavior. For a stateless converter this is a minor gap, but no behavioral context beyond the operation itself is provided.
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 short sentence and front-loads the conversion direction. The prefixed 'Radians To Degrees:' is redundant with the rest of the sentence and the tool name, but overall the description is compact with no meaningful padding.
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 zero-parameter, trivial conversion tool, the description is mostly complete: the operation and direction are clear. It does not reference the inverse or duplicate sibling tools, which would improve selection in the large sibling list, but nothing essential about how to invoke it is missing.
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 has zero parameters, so the 100% schema coverage is trivially satisfied and there is little for the description to add. The baseline for zero-parameter tools is 4, and the description adequately confirms what kind of conversion is being performed.
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 states a clear verb and resource: 'Convert radians to degrees.' This unambiguously identifies the direction of conversion and separates it from inverse tools like x402-degrees-to-radians. However, it does not distinguish itself from the near-duplicate sibling x402-rad-to-deg, so differentiation is incomplete.
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?
No when-to-use or when-not-to-use guidance is provided. The description never mentions alternatives such as x402-degrees-to-radians for the inverse operation or x402-rad-to-deg as a likely equivalent. An agent must infer usage context entirely from the tool name.
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.