x402-force-unit
Force Unit: Force of unit.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Force Unit: Force of unit.
| 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 reveals nothing: no side effects, no supported force units, no input expectations, no return format, and no edge cases. For a conversion-likely tool, the complete absence of behavioral context is a significant gap.
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 extremely short but this is under-specification, not conciseness. It contains no front-loaded action, no structured information, and no statement that earns its place — it is a meaningless restatement of the tool name that wastes the opportunity to convey any useful detail.
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 zero documented parameters, the description is the only source of guidance and it is entirely inadequate. It fails to explain what the tool computes, which units are supported, what the result looks like, or how it differs from the many physics/conversion siblings, leaving the agent with no ability to use it correctly.
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 schema declares zero parameters, which normally earns a baseline of 4, but the description provides no clarification about how input is supplied. A tool named 'force-unit' implies a conversion operation that must receive a value and units somehow, yet neither the schema nor the description explains the invocation mechanism, making the tool effectively un-callable by an agent.
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 'Force Unit: Force of unit.' is a pure tautology that merely rephrases the tool's name without stating any verb, action, or resource. It fails to distinguish this tool from closely related siblings like x402-force, x402-units-convert, or x402-acceleration, leaving an agent unable to determine what operation 'force unit' actually performs.
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 zero guidance on when to use this tool versus alternatives. No mention of when to prefer x402-force-unit over x402-force, x402-units-convert, or any other sibling, and no conditions or exclusions are stated. An agent has no basis for selecting this tool over similar ones.
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.