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x402-black-scholes-put

Black Scholes Put: Black Scholes Put

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rateNoRate to process
spotNoSpot to process
timeNoTime to process
priceNoPrice to process
sigmaNoSigma to process
strikeNoStrike to process
volatilityNoVolatility to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed7 schema fields changed
    • addedInput schema / properties / price
      Added value: +{
      +  "description": "Price to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / rate
      Added value: +{
      +  "description": "Rate to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / sigma
      Added value: +{
      +  "description": "Sigma to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / spot
      Added value: +{
      +  "description": "Spot to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / strike
      Added value: +{
      +  "description": "Strike to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / time
      Added value: +{
      +  "description": "Time to process",
      +  "type": "string"
      +}
    • addedInput schema / properties / volatility
      Added value: +{
      +  "description": "Volatility to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

D1.2/5.0
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden and delivers nothing: no indication of the formula variant, expected units or return value, whether it requires premium/rate conventions, or any error behavior. It does not contradict anything (there are no annotations), but it also discloses no behavioral traits at all.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

There is no structure to evaluate — the entire description is a duplicated name fragment. It is short but wastes its only sentence, earning nothing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 7-parameter quantitative tool with no annotations and no output schema, the description should explain the model inputs and what the result represents. Instead it provides nothing, leaving an agent unable to call the tool confidently or interpret its output.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although nominal schema coverage is 100%, each parameter description is a vacuous placeholder ('Rate to process', 'Spot to process', 'Sigma to process'), so the schema conveys no real semantics. The description adds nothing, and it does not resolve the ambiguity of having both 'sigma' and 'volatility', nor 'rate' vs 'price' (price of what?). Below the baseline 3 because the available 'coverage' is non-informative.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is the tautology 'Black Scholes Put: Black Scholes Put', which merely restates the tool name and title. It gives no verb, no statement of what computation is performed, and no differentiation from the sibling x402-black-scholes-call. An agent learns nothing it could not infer from the identifier alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance whatsoever about when to use this versus alternatives. The sibling x402-black-scholes-call exists and is the obvious alternative for the opposite option type, yet the description never mentions it or any condition for selecting one over the other. Zero routing information.

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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