x402-deg-to-rad
Deg To Rad: Convert deg to rad.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Deg To Rad: Convert deg to rad.
| 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. It reveals nothing beyond the bare conversion action—no input requirements, output format, precision, or edge-case handling. For a pure math function the behavior is partly self-evident, but the description adds zero behavioral context on its own.
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 six words, the description is appropriately tiny and front-loaded with the purpose statement. However, the brevity is achieved by omitting substantive information—there is no sibling differentiation or input clarification—so this reads as under-specification rather than disciplined 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?
Although the conversion is trivially simple, the description is not complete enough for reliable tool selection. The empty schema means an agent cannot determine how to pass the degrees value, and the existence of the same-function sibling 'x402-degrees-to-radians' makes it impossible to choose correctly between them. No output schema exists to compensate for the missing return-format 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?
The tool has zero parameters and schema description coverage is trivially 100%, so the baseline is 4. There are no parameters for the description to document. It is slightly notable that the description does not clarify how a value to convert is supplied given the empty schema, but that gap belongs to contextual completeness rather than parameter semantics.
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 specific action ('Convert deg to rad') with a clear resource, so an agent can infer the tool performs degrees-to-radians conversion. However, it essentially restates the tool name 'x402-deg-to-rad' with minimal added meaning, and it fails entirely to differentiate from the near-identical sibling 'x402-degrees-to-radians'.
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 usage guidance whatsoever. The description does not indicate when to choose this tool over the functionally overlapping siblings 'x402-degrees-to-radians', 'x402-rad-to-deg', or 'x402-angle-unit', nor does it state any context, prerequisites, or exclusions.
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.