Skip to main content
Glama
aswathas

TradeMCP

by aswathas

trademcp_get_technical_indicators

Read-onlyIdempotent

Compute 60+ technical indicators for Indian stocks to analyze trend, momentum, volatility, and volume. Specify NSE symbol, indicators, and lookback range to retrieve current values and recent series.

Instructions

Compute technical indicators for an Indian stock.

Covers 60+ indicators across trend (moving averages, MACD, ADX, Supertrend, Ichimoku, Parabolic SAR, Aroon, Vortex), momentum (RSI, Stochastic, CCI, Williams %R, MFI, ROC, CMO, TSI, Ultimate Oscillator), volatility (ATR, Bollinger, Keltner, Donchian, historical volatility), volume (OBV, VWAP, Chaikin Money Flow, Accumulation/Distribution, Force Index) and statistics.

Args: symbol: NSE symbol or company name indicators: names to compute; omit for the full set range: lookback window interval: candle size limit: recent points kept per indicator response_format: 'markdown' or 'json'

Returns: Markdown table (indicator, latest value, recent values) or JSON with 'indicators' and 'series'.

Input Schema

NameRequiredDescriptionDefault
limitNoHow many recent data points to keep per indicator (1-100)
rangeNoLookback window: 3mo, 6mo, 1y, 2y, 5y1y
symbolYesNSE symbol or company name, e.g. 'RELIANCE'
intervalNoBar size: 1d, 1wk, 1h, 30m1d
indicatorsNoIndicator names to compute, e.g. ['rsi_14','macd','atr_14']. Omit for all 60+.
response_formatNo'markdown' or 'json'markdown

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds the two response shapes (markdown table of latest + recent values, or JSON with 'indicators' and 'series'), which is useful context, but says nothing about data source freshness, rate limits, or the cost of computing all 60+ indicators.

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 opening two paragraphs are well front-loaded and earn their place. However, the Args and Returns blocks largely duplicate the 100%-covered input schema and the existing output schema, so a meaningful share of the text is redundant rather than additive.

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?

With 6 parameters, full schema coverage, an output schema and rich annotations, the definition supplies what an agent needs to invoke the tool correctly. The remaining gap is routability against trademcp_get_technical_analysis and trademcp_get_support_resistance, which the description never addresses.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3; the description earns the bump because the enumerated indicator taxonomy (trend/momentum/volatility/volume/statistics with named examples) helps an agent actually construct the otherwise free-form 'indicators' array beyond the schema's two examples. The Args section otherwise restates the schema verbatim for symbol, range, interval, limit and response_format.

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?

States a specific verb and resource ('Compute technical indicators for an Indian stock') and enumerates the indicator families covered, which makes the tool's scope concrete. It stops short of distinguishing itself from the closely-named sibling trademcp_get_technical_analysis or get_support_resistance, so an agent still has to guess which of the three to reach for.

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?

Usage is only implied: 'omit for the full set' and the category list tell you how to use parameters, but there is no explicit when-to-use-this-vs-alternatives guidance despite three overlapping siblings. No preconditions, no exclusions, no routing statement.

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