x402-bond-convexity
Bond Convexity: Bond Convexity
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| face | No | Face to process | |
| rate | No | Rate to process | |
| years | No | Years to process | |
| coupon | No | Coupon to process |
Bond Convexity: Bond Convexity
| Name | Required | Description | Default |
|---|---|---|---|
| face | No | Face to process | |
| rate | No | Rate to process | |
| years | No | Years to process | |
| coupon | No | Coupon to process |
Changes observed during successful MCP inspections.
Input schema / properties / couponAdded value: +{
+ "description": "Coupon to process",
+ "type": "string"
+}Input schema / properties / faceAdded value: +{
+ "description": "Face to process",
+ "type": "string"
+}Input schema / properties / rateAdded value: +{
+ "description": "Rate to process",
+ "type": "string"
+}Input schema / properties / yearsAdded value: +{
+ "description": "Years to process",
+ "type": "string"
+}Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full disclosure burden and delivers nothing. It says nothing about inputs expected, units, conventions, error behavior, or whether the computation is a pure read.
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, but brevity here is under-specification rather than conciseness. Not a single useful token is earned by the repeated phrase.
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 financial calculation tool with 4 inputs, no annotations, no output schema, and no required parameters, the description supplies none of the context an agent needs to invoke it correctly (units, sign conventions, ordering of rate/coupon/years, output shape).
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 reported at 100%, so the mechanical baseline of 3 applies. However, the schema's own descriptions are vacuous ("Face to process", "Rate to process"), and all four numeric-looking inputs are typed as strings with no format guidance, so the description adds no meaning to compensate.
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?
"Bond Convexity: Bond Convexity" is a pure tautology that restates the tool name twice and adds no verb, resource scope, or distinguishing detail. An agent cannot tell from this text whether the tool computes convexity, returns a definition, or something else.
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 indication of when to use this tool, when not to, or how it relates to the many sibling finance tools (x402-bond-duration, x402-bond-price, x402-bond-yield). The agent is left to guess entirely.
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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