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Technical indicator

technical_indicator
Read-onlyIdempotent

Technical indicator series for a stock: SMA, EMA, RSI or MACD on adjusted closes (daily by default), latest first. Use for 'is AAPL overbought?' (RSI) or trend questions. Pro.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPoints to return (default 50)
tickerYesStock or ETF ticker, e.g. NVDA, SPY, BRK.B
windowNoLook-back window for sma/ema/rsi (default 14)
timespanNo
indicatorYes
long_windowNo
short_windowNo
signal_windowNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already carry the safety profile (readOnlyHint, idempotentHint, openWorldHint, destructiveHint=false). The description adds genuinely useful behavior beyond that: adjusted closes (splits/dividends handled), daily-by-default timespan, and latest-first ordering. Return format/pagination isn't described, but that gap is minor given the annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

Front-loaded with the core resource and indicator list, then a compact usage sentence. Efficient with no filler, though the trailing 'Pro' tag is marginal.

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?

With 8 parameters, low schema coverage (38%), and no output schema, the description leaves several parameters and the return shape underspecified. Adequate for routing but not complete for confident invocation of the MACD variants.

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 only 38%, so the description should compensate. It does explain the indicator choice and the daily default, but leaves the MACD-specific windows (long_window, short_window, signal_window) and limit/window semantics entirely to the schema. Partial compensation keeps this at baseline.

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?

States a specific verb+resource ('technical indicator series for a stock') and enumerates the supported indicators (SMA, EMA, RSI, MACD). This clearly distinguishes it from siblings like stock_candles, momentum_rankings, and volatility_movers.

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?

Provides concrete usage contexts ('is AAPL overbought?' via RSI, or trend questions), which tells the agent when to reach for it. It stops short of naming an alternative sibling to prefer instead, so no explicit exclusions are given.

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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