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mz462

stock-research-mcp

by mz462

get_technical_indicators

Retrieve technical indicators and trend analysis for a stock ticker. Choose from SMA, EMA, RSI, MACD, and Bollinger Bands to inform trading decisions.

Instructions

Get technical indicators for a stock.

Args: ticker: Stock symbol (e.g., 'AAPL', 'MSFT') indicators: List of indicators to fetch. Options: 'sma', 'ema', 'rsi', 'macd', 'bbands'. If None, fetches all.

Returns: Technical indicator values and trend analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYes
indicatorsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description carries the transparency burden. It discloses the default behavior ('If None, fetches all') and the return content ('values and trend analysis'), but does not mention data source, update frequency, limitations, or any operational caveats. 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 compact, front-loaded with its purpose, and uses a clean Args/Returns structure. Every sentence contributes useful information without repetition or filler.

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?

For a two-parameter read-only data tool with an output schema present, the description covers the essential input semantics and default behavior. It is slightly incomplete only in not offering comparison with overlapping market-data siblings or more behavioral context, but it provides sufficient information for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must fully explain the parameters, and it does. It gives ticker examples, defines indicators as a list, enumerates the valid option strings, and specifies the None default behavior. This is exactly the information an agent needs beyond the bare schema.

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?

The description opens with a specific verb and resource: 'Get technical indicators for a stock.' It lists concrete indicator types (sma, ema, rsi, macd, bbands), which clearly differentiates it from raw price, quote, and support/resistance sibling tools.

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?

There is no guidance on when to choose this tool over alternatives such as get_historical_prices or get_support_resistance. The description defines what the tool fetches, but does not mention when not to use it or which sibling covers overlapping use cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.