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Options Profit Calculator

Find options for a price target

find_options
Read-only

Find the best single options or vertical spreads for a price target by a date, with the optionsprofitcalculator.com option finder, ranked by return on max risk (return on margin for naked short options). Returns up to 5, each with a calculatorUrl.

Input Schema

NameRequiredDescriptionDefault
dateYesDate the target is expected by, YYYY-MM-DD
priceYesTarget stock price
budgetNoMost to risk, in dollars. Positions are sized to fit.
symbolYesTicker symbol, e.g. AAPL
targetNoeq: the stock will be at price; gt: above it; lt: below iteq
strategiesNo
exactExpiryNoOnly use the expiry on (or next after) the date. Otherwise all expiries from the date on are searched.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already cover readOnlyHint and openWorldHint, and the description goes beyond them by disclosing the ranking function (return on max risk, with return on margin for naked short options) and the result shape (up to 5 items, each with a calculatorUrl). It does not mention rate limits, data freshness, or latency from the external site, which would have pushed it to a 5.

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

Conciseness4/5

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

A single front-loaded sentence that leads with the action and the selection criterion before the ranking detail and return shape. Dense but no filler; the only cost is that the parenthetical about margin slightly interrupts the flow.

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?

With 7 parameters, no output schema and an external open-world dependency, the description does the important work: it names the data source, the ranking metric, the result cap and one field of each result. Gaps are minor — budget-driven position sizing and the exactExpiry broadening behavior are left entirely 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?

Schema coverage is 86%, so the schema already documents date, price, budget, symbol, target and exactExpiry well. The description adds only one piece of real parameter meaning — that results are either single options or vertical spreads, which frames the strategies enum — and says nothing about how budget sizing or the target eq/gt/lt modifier affect the search.

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?

States a specific verb (find), a specific resource (options / vertical spreads) and the exact selection criterion (a price target by a date) plus the upstream service, optionsprofitcalculator.com. This is clearly distinguishable from siblings like get_option_chain (enumerate a chain) and calculate_position (score a given position).

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 scenario that selects this tool — you already have a target price and date and want candidates — is implied clearly by the wording, but the description never names an alternative (get_option_chain, probability_of_profit, calculate_position) or states when not to use it. An agent must infer the routing decision from the sibling names alone.

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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