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Hermes Plant — Agent Commerce Assurance

OptionLens — Black-Scholes price & Greeks

options_price
Idempotent

OptionLens (x402-paid, $0.30): deterministic Black-Scholes price and full Greeks (delta, gamma, vega, theta, rho) for European calls/puts, with dividend yield, intrinsic/time value, and moneyness.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
spotYesUnderlying price (> 0)
payerNoOptional wallet/account identifier; stored only as a hash
apiKeyNoFree-tier / plan API key (hp_free_… or a pass key). Forwarded as X-API-Key so paid tools serve from your monthly quota with NO x402 wallet. Get a free key (250 calls/mo) at https://hermesplant.com/pricing.
strikeYesStrike price (> 0)
channelNoDiscovery channel or source tag
campaignNoCampaign tag for downstream telemetry
xPaymentNoRaw X-PAYMENT proof from an x402-compatible wallet/client
actorTypeNoCaller type for analytics: agent, human, synthetic, system, or unknown
syntheticNoMark this paid retry as an internal test/probe for analytics exclusion
optionTypeNoOption type, 'call' or 'put' (default call)
volatilityYesAnnualized volatility, e.g. 0.2
riskFreeRateNoAnnual risk-free rate, default 0
timeToExpiryYesYears to expiry, e.g. 0.5
dividendYieldNoContinuous dividend yield, default 0
paymentSignatureNox402 payment proof to forward as PAYMENT-SIGNATURE and X-PAYMENT on retry
paymentIdentifierNoOptional x402 payment identifier for idempotency/retry correlation

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesTrue when the upstream storefront call returned a 2xx response
httpStatusYesUpstream HTTP status code
paymentRequiredNoTrue when the response is an x402 HTTP 402 payment challenge

TDQS

A4/5.0
Behavior4/5

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

The description discloses that the tool is x402-paid at $0.30, indicating a required payment or quota, which complements the annotations' readOnlyHint=false. It also states the computation is deterministic and lists the broad output scope, adding useful context beyond the schema.

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

Conciseness5/5

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

The description is a single, information-dense sentence that front-loads the brand and cost, then succinctly enumerates the function and outputs. No redundant words or content.

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

Completeness4/5

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

The description covers the tool's core purpose, pricing model, and output breadth, while the input schema and output schema (present) handle parameter details. Given the large parameter count, the description appropriately focuses on the main function and leaves technical details to the schema.

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

Parameters3/5

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

With 100% schema description coverage, each parameter is already described. The tool description adds an overview of what the calculation includes (e.g., dividend yield) but does not elaborate on individual parameters, so the schema carries the primary semantic load.

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

Purpose5/5

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

The description clearly identifies the tool as a Black-Scholes price and Greeks calculator for European options, listing specific outputs (delta, gamma, vega, theta, rho) and inputs (dividend yield). It distinguishes itself from sibling tools like bond_analyze or cashflowlens_analyze by focusing specifically on options pricing.

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

Usage Guidelines3/5

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

The description implies usage for European option pricing but does not explicitly state when to use this tool over alternatives or when not to use it. The 'x402-paid' notation and cost hint at a monetized service, but no exclusions or alternative recommendations are provided.

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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TDQS

A3.6/5.0
Disambiguation4/5

Most tools have clearly distinct purposes. Some overlap exists (e.g., dealanalyzer_analyze combines CashflowLens and WaterfallLens; action_safety_run includes DestructGuard evidence), but descriptions explicitly clarify scope so an agent can choose correctly.

Naming Consistency2/5

Naming patterns are mixed: some verbs precede nouns (get_product, purchase_with_x402), others follow nouns (bond_analyze, portfolioguard_score), and some are multi-word (action_safety_quick_gate). This inconsistency makes tool selection less predictable.

Tool Count3/5

At 25 tools, the server is at the heavy end and spans diverse subdomains (safety, payments, financial analytics, storefront). While each tool serves a purpose, the broad scope makes it feel overloaded for a single server.

Completeness3/5

Core assurance workflows (safety, payment, verification) are covered, but gaps exist: no refund/cancellation tools, no attestation lookup, and no way to retrieve 30-day action-safety status records. Financial analytics also have limited coverage (no equities).