x402-bmi
BMI: Calculate Body Mass Index. 🆓 5 free trial calls per signed wallet
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| height | No | ||
| weight | No |
BMI: Calculate Body Mass Index. 🆓 5 free trial calls per signed wallet
| Name | Required | Description | Default |
|---|---|---|---|
| height | No | ||
| weight | No |
Changes observed during successful MCP inspections.
Input schema / properties / height / descriptionRemoved value: -"Height to process"Input schema / properties / weight / descriptionRemoved value: -"Weight to process"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full disclosure burden. It says nothing about which unit system the calculation assumes, what the response contains (raw BMI value only, or value plus category band), or how invalid inputs are handled. The trial-call note is the sole behavioral detail and covers payment, not 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?
It is short and front-loads the operation, so nothing is buried. However, one of its two sentences is promotional rather than functional, and the space saved is not spent on the unit and output information that an agent actually needs.
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 is simple (two scalar inputs, no nesting, no output schema), which lowers the bar, but unit conventions and the shape of the return value are exactly the details a calculation tool must supply and both are absent. Without them an agent cannot call this correctly, only guess.
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 0% and both parameters are typed only as bare strings with no required markers. The description adds no meaning beyond the field names, and critically does not state whether height is centimeters, meters, inches, or feet and whether weight is kilograms or pounds — an omission that will produce wrong results, not just unclear ones.
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?
States a specific verb and resource ('Calculate Body Mass Index') with an acronym-first label, so the agent can identify the operation without opening the schema. It does not differentiate itself from nearby measurement siblings (e.g. x402-weight, x402-metric-imperial), but the purpose itself is unambiguous.
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 when-to-use guidance, no prerequisites, and no mention of alternatives. The only extra sentence concerns free trial calls per signed wallet, which is billing context rather than selection guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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