get_options_context
Live options context for a ticker via Tradier — nearest expiration, ATM call/put prices, straddle cost. Use to choose an options strategy.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | ticker symbol |
Live options context for a ticker via Tradier — nearest expiration, ATM call/put prices, straddle cost. Use to choose an options strategy.
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | ticker symbol |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must disclose behavioral traits. It does indicate that the data is 'live' and sourced via Tradier, and it lists the returned fields. However, it doesn't mention error behavior, rate limits, or response structure. For a simple read-only data retrieval tool, this is adequate but not rich.
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 description is two sentences, front-loaded with the main purpose and specific data points. It contains no redundant information and is highly scannable, earning a perfect score.
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?
Given the tool's simplicity (one parameter, no output schema), the description is fairly complete: it lists the returned data elements and the intended use case. However, it could explicitly describe the output format, so it doesn't reach a 5.
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?
The schema already fully documents the only parameter 'ticker' with the description 'ticker symbol' (100% coverage). The description adds no additional meaning beyond what the schema provides, so the baseline of 3 is appropriate.
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?
The description clearly states the tool provides live options context for a ticker via Tradier, including nearest expiration, ATM call/put prices, and straddle cost. This distinguishes it from sibling tools like get_convergence_picks or get_ticker_signal, though it doesn't explicitly compare itself to them. The verb is implied by the name 'get' and the phrase 'Live options context' makes the retrieval purpose clear.
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?
The description includes an explicit usage directive: 'Use to choose an options strategy.' This gives clear context for when to use the tool. However, it does not provide any exclusions or mention alternative tools, so it falls short of a full 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool addresses a clearly distinct purpose: list picks, per-ticker signal, narrative thesis, sector context, options context, and historical track record. While get_thesis and get_ticker_signal both focus on a single ticker, one is qualitative and the other is quantitative, so an agent can easily choose based on need.
All tool names follow the same get_<noun> pattern, using snake_case consistently. The nouns are descriptive (picks, options_context, sector_lean, thesis, ticker_signal, track_record), making the API predictable and easy to navigate.
Six tools is a well-scoped size for a specialized financial analytics server. Each tool earns its place by covering a distinct aspect of the domain without redundancy or bloat.
The tool surface covers the core lifecycle of catalyst analysis: discover top picks, drill into any ticker's signal, read a narrative thesis, assess sector direction, obtain options context for trade construction, and evaluate historical reliability. There are no obvious dead ends or missing operations for a read-only analytics use case.