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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

TableJSON Schema
NameRequiredDescriptionDefault
tickerYesticker symbol

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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.

Conciseness5/5

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.

Completeness4/5

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.

Parameters3/5

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.

Purpose4/5

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.

Usage Guidelines4/5

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.

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TDQS

A3.8/5.0
Disambiguation5/5

Each tool targets a distinct output: top picks, per-ticker signal breakdown, narrative thesis, options context, sector lean, and historical track record. The closest pair is get_ticker_signal and get_thesis, but one is explicitly quantitative layers and the other is plain-language narrative, so an agent should not confuse them.

Naming Consistency5/5

All six tools follow a consistent get_<object> pattern with clear noun phrases. There are no mixed conventions, vague verbs, or inconsistent casing.

Tool Count5/5

Six tools is a tight, well-scoped set for a read-only market-research MCP server. Every tool covers a distinct analytical need without redundancy or bloat.

Completeness5/5

The surface covers the full research workflow: discovering top picks, drilling into per-ticker signals, reading narrative theses, checking options context, understanding sector lean, and validating with historical track record. For a read-only analytics domain, there are no critical dead ends or missing lifecycle operations.