x402-density
Density: Calculate density: mass divided by volume. Provide mass and volume values.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Density: Calculate density: mass divided by volume. Provide mass and volume values.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must explain behavior itself, but it only states the formula. It does not say how mass and volume are supplied, what units are expected, what happens with invalid inputs such as zero volume, or what the output looks like. The instruction to provide values also conflicts with the empty input schema.
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 text is short and gets to the formula quickly, but it is redundant: 'Density:' restates the tool name and 'Calculate density' repeats the same idea. The final instruction is useful in intent but unsupported by the schema.
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?
For a tool with no output schema and no annotations, a critical piece is missing: how the agent is supposed to supply mass and volume when the input schema has no properties. It also omits unit handling and error behavior, so the description is incomplete for reliable invocation.
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, yet the description tells the agent to provide mass and volume values. That adds nominal meaning by naming the quantities involved, but it is unactionable—an agent following the schema has no way to pass these values, so the description misleads rather than clarifies the parameter situation.
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 clearly identifies the operation (calculate density) and gives the formula (mass divided by volume), which helps an agent tell it apart from related tools like x402-sphere-density or x402-volume-o-mass. It does not explicitly name alternatives, so it stops just short of full differentiation.
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 guidance about when to choose this tool over alternatives or when not to use it. The intended use is only implied by the name and formula; the large sibling list contains closely related tools but no comparison is given.
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.