x402-molarity
Molarity: Calculate molarity: moles of solute divided by volume of solution. Provide moles and volume.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Molarity: Calculate molarity: moles of solute divided by volume of solution. Provide moles and volume.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description bears the full burden. It explains the formula but doesn't disclose output units, required input units, or what happens with invalid or missing values. The claim 'Provide moles and volume' also conflicts with the empty input schema, which is a significant transparency 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?
Two short sentences with no filler, and the formula is front-loaded. Minor redundancy: the tool name 'molarity' is repeated by the first word of the description, but the description otherwise earns its length.
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 tool has no annotations, no output schema, and an empty input schema, so the description must provide everything the agent needs. It covers the calculation conceptually but fails to reconcile 'Provide moles and volume' with an API schema that accepts no parameters, and it doesn't describe the return value.
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 description names the two required quantities (moles and volume) and the relationship between them, adding meaning beyond the empty schema. However, the schema defines zero parameters, so an agent cannot determine how to actually pass moles and volume, and no units or formats are specified.
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: 'Calculate molarity: moles of solute divided by volume of solution.' The formula makes the operation unambiguous, but it doesn't explicitly differentiate from closely related chemistry tools like x402-concentration or x402-moles-from-mass.
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 guidance is given on when to use this tool over alternatives. The instruction 'Provide moles and volume' tells the agent what to supply, but not when molarity is the right calculation or when a sibling tool such as x402-mass-from-moles would be more appropriate.
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.