x402-boyle-law
Boyle Law: Law of boyle.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Boyle Law: Law of boyle.
| 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, and it says nothing about behavior: no mention of what inputs it accepts, what it returns, whether it performs a calculation, or how it relates to Boyle's law as a physical formula. The description contributes no behavioral information at all. There is no contradiction with annotations only because no annotations exist.
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 at one sentence, but the sentence is a tautology that does not earn its place. This is under-specification rather than effective conciseness; the space is used to repeat the tool's name instead of conveying any useful information.
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?
With no annotations, no output schema, an empty input schema, and a tautological description, the definition is completely inadequate for an agent to call this tool correctly. The agent cannot infer the required inputs (pressure/volume values), the expected output, or how this differs from x402-charles-law and the other gas-law siblings in the sibling list.
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 empty (0 parameters) with trivially 100% schema description coverage, and the rubric's baseline for 0-parameter tools is 4. There are no parameters for the description to explain. However, the description adds no positive value either; it does not hint at what inputs a Boyle's law computation would naturally require.
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 'Boyle Law: Law of boyle.' is a pure tautology that merely restates the tool name. It contains no verb, no statement of what the tool computes (e.g., P1V1 = P2V2), and no differentiation from closely related siblings such as x402-charles-law, x402-ideal-gas, or x402-ideal-gas-pressure. An agent cannot determine what this tool does from the description.
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 provides no guidance whatsoever on when to use this tool versus the many physics-related siblings like x402-charles-law, x402-ideal-gas-pressure, or x402-pressure. There is no context, no exclusions, and no mention of alternatives, so the agent is left with zero routing information.
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.