x402-hectares-to-acres
Hectares To Acres: Convert hectares to acres.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Hectares To Acres: Convert hectares to acres.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden of behavioral disclosure. It only says 'convert,' which implies a pure computation, but it fails to disclose anything about precision, rounding, accepted number formats, error behavior, or even how the value to convert is supplied — especially odd given the input schema is empty.
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 and front-loaded, but the brevity is under-specification rather than economy. The prefix 'Hectares To Acres:' duplicates the tool name, and the remaining sentence adds only marginal information. It earns credit for being one sentence, but that sentence is nearly all filler.
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 annotations, no output schema, and an empty parameter schema, the description is severely incomplete. An agent cannot determine how to pass the value to convert, what the result will look like, or how invocation works at all. The only thing established is the conversion direction, which is insufficient 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?
The tool has 0 parameters, so the baseline is 4, and the schema needs no documentation. However, the description misses a critical opportunity: for a conversion tool with an empty properties schema, the description should explain how the input value is communicated (e.g., via a protocol, context, or implied convention). The silence on this creates real ambiguity for an agent trying to invoke the tool.
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 and conversion direction ('Convert hectares to acres'), which is clear enough to distinguish it from the inverse sibling x402-acres-to-hectares. However, it is nearly a tautology — the description 'Hectares To Acres: Convert hectares to acres' adds almost nothing beyond the tool name itself.
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 usage guidance is provided. With dozens of conversion siblings (x402-acres-to-hectares, x402-units-convert, x402-metric-imperial, x402-cm-to-inches), the description gives no indication of when this tool is preferred over alternatives or whether it should be used for general unit conversion problems.
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.