x402-compound
Compound: Compound interest calculator.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| rate | No | Rate to process | |
| years | No | Years to process | |
| frequency | No | Frequency to process | |
| principal | No | Principal to process |
Compound: Compound interest calculator.
| Name | Required | Description | Default |
|---|---|---|---|
| rate | No | Rate to process | |
| years | No | Years to process | |
| frequency | No | Frequency to process | |
| principal | No | Principal to process |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are absent, so the description carries the full burden of behavioral disclosure, and it discloses nothing: no rate/frequency input conventions, no mention that all parameters are optional or what defaults apply, no return shape, no edge cases. The word 'calculator' only weakly implies a pure read-only computation.
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 the 'Compound:' prefix is pure redundancy and the remaining clause essentially rephrases the tool's name. This is under-specification rather than economical informativeness; every word does not earn its place.
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 four-parameter tool with no annotations and no output schema, the entire description is one tautological sentence. An agent cannot determine which inputs are required, what format to use for rate and frequency, what the result represents (total balance vs. interest earned), or what the return value looks like. This is inadequate for correct 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?
Schema description coverage is 100%, so the baseline of 3 applies even though the tool description itself says nothing about parameters. The schema entries ('Rate to process', 'Years to process') merely restate the parameter names with filler wording and do not clarify whether rate is a percentage or decimal, what frequency means (e.g., compounding periods per year), or what values are valid.
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 phrase 'Compound interest calculator' does communicate the basic domain and an implied verb (calculate), so an agent knows this tool computes compound interest. However, the description opens by literally repeating the tool name ('Compound:'), supplies no scope or output detail, and cannot be told apart from the sibling x402-compound-interest, which names the same operation.
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 on when to use this tool. With a near-identically named sibling (x402-compound-interest) and adjacent tools like x402-simple-interest and x402-future-value, the description gives an agent no basis for routing between alternatives, and even the basic usage context is only implied by the name.
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.