x402-bar-to-psi
Bar To Psi: Convert bar to PSI.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Bar To Psi: Convert bar to PSI.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the core behavior: it converts bar to PSI. With no annotations present, the description carries the full burden, but a pure conversion utility has few safety-relevant traits. It does not mention precision, rounding, return format, or how the input value is supplied, leaving some behavioral details undisclosed.
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 and front-loaded. It is slightly redundant: 'Bar To Psi' in the title-like prefix is restated by 'Convert bar to PSI' in the sentence. Still, every part is purposeful and there is no wasted filler. The redundancy is minor and does not impair readability.
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?
The empty input schema is unusual for a conversion tool, yet the description does not explain how the agent is supposed to provide the bar value or what the output looks like. Since there is no output schema and no parameter documentation, the definition leaves an important gap: the agent cannot determine the invocation contract. For a zero-parameter tool this is a notable incompleteness.
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 an empty object with zero parameters, and schema description coverage is 100%. Per the rubric, a zero-parameter tool receives a baseline score of 4. The description adds no parameter-specific meaning, which is acceptable since no parameters exist to document.
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 verb ('Convert'), a clear resource ('bar'), and a target unit ('PSI'). It unambiguously identifies the conversion direction and distinguishes this tool from the sibling x402-psi-to-bar, which performs the inverse operation. The purpose is immediately understandable.
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 usage context is implied by the name and description: use this when a bar-to-PSI conversion is needed. However, there is no explicit statement about when to choose this tool over alternatives like x402-psi-to-bar, x402-pressure, or other unit-conversion siblings. No exclusions or alternative routing are provided.
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.