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equity-technicals

Analyze any US stock with RSI, MACD, Bollinger Bands, SMA crossovers, volume ratio, and a consensus signal to confirm entry/exit points and gauge momentum.

Instructions

Returns a complete technical analysis package for any US stock: RSI(14) with oversold/overbought signal, MACD(12/26/9) with histogram, Bollinger Bands(20,2σ) with price position, SMA 20/50/200 with crossover state, 20-day volume ratio, and a consensus signal (BULLISH/BEARISH/NEUTRAL) based on indicator agreement. Sourced from 1-year Yahoo Finance daily OHLCV — no API key, live data. Richer than a simple price endpoint: agents use this for entry/exit signal confirmation, momentum screening, and pre-trade context without managing their own TA library.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerNoUS stock ticker symbol (e.g. AMD, AAPL, NVDA, STRC). Case-insensitive.
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It mentions data source and live data but omits critical details like error handling, rate limits, or read-only safety, leaving the agent without full 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.

Conciseness3/5

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

The description is reasonably concise but slightly verbose with a full list of indicators. It front-loads the main purpose, but some redundancy exists, making it adequate but not ideal.

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

Completeness3/5

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

Given no output schema, the description partially explains the return (indicators and consensus signal), but lacks details on response format and error handling, making it adequate but not fully comprehensive.

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% with a clear description of the 'ticker' parameter. The tool description adds little beyond the schema, meeting the baseline but not exceeding it.

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 'Returns a complete technical analysis package for any US stock' and lists specific indicators, distinguishing it from simpler price endpoints. However, it does not explicitly differentiate among all sibling tools, though it implies uniqueness.

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 mentions use cases like 'entry/exit signal confirmation, momentum screening, and pre-trade context,' but does not explicitly state when to avoid this tool or provide alternatives, leaving some ambiguity.

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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