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drmartell

thetadata-mcp

by drmartell

option_at_time_trade

Fetch the last option trade at a specific time of day for any underlying. Filter by expiration, strike, and date to retrieve precise historical trade data.

Instructions

[STANDARD] Last option trade at a specific time of day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rightNoThe right (call or put) of the contract.both
strikeNoThe strike price of the contract in dollars (ie `100.00` for `$100.00`), or `*` for all strikes.*
symbolYesThe stock or index symbol, or underlying symbol for options.
max_dteNoIf specified, only contracts with a full calendar day 'Days to Expiration' (DTE) less than or equal to this number will be returned.
end_dateNoThe end date (inclusive).
expirationYesThe expiration of the contract in `YYYY-MM-DD` or `YYYYMMDD` format, or `*` for all expirations.
start_dateNoThe start date (inclusive).
time_of_dayYesThe time of the day to fetch data for; assumed to be America/New_York.
strike_rangeNoUsed to specify a filter to limit the number of contracts returned relative to the underlying's spot price. Will return the specified number of strikes above and below the spot price, as well as the at-the-money strike.
Behavior2/5

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

With no annotations, the description carries the full burden. It merely restates the tool's name and offers no detail about timezone handling, ambiguity in 'at a specific time' (exact vs last as of), error behavior, or return format. The schema provides parameter definitions but not behavioral context.

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?

The description is a single short phrase, highly concise and front-loaded with the core purpose. It is not a full sentence, but it avoids any wasted words or redundancy.

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

Completeness2/5

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

For a tool with 9 parameters, no output schema, and many sibling tools, this description is inadequate. It does not explain the semantics of 'specific time of day' (exact timestamp vs last available before), what data is returned, or how it relates to snapshot/history trade variants.

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 100%, so all 9 parameters already have descriptions. The tool description adds no additional meaning about parameter interactions or special cases (e.g., wildcard usage, how time_of_day is applied). Baseline 3 is appropriate since the schema does the heavy lifting.

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

Purpose4/5

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

The description states 'Last option trade at a specific time of day' which clearly identifies the resource (options) and the specific action (last trade at a time). It helps distinguish from option_at_time_quote and history tools, though it lacks an explicit imperative verb like 'retrieves'.

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

Usage Guidelines2/5

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

No when-to-use guidance is provided. There is no mention of alternatives, preconditions, or scenarios where this tool is preferred over option_at_time_quote or option_history_trade.

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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