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imbenrabi

Financial Modeling Prep MCP Server

getTEMA

Read-onlyIdempotent

Calculate the Triple Exponential Moving Average (TEMA) using historical price data to analyze stock trends and identify potential buy or sell signals.

Instructions

Calculate the Triple Exponential Moving Average (TEMA) for a stock using the FMP TEMA API. This tool helps users analyze trends and identify potential buy or sell signals based on historical price data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesStock symbol
periodLengthYesPeriod length for the indicator
timeframeYesTimeframe (1min, 5min, 15min, 30min, 1hour, 4hour, 1day)
from_dateNoStart date (YYYY-MM-DD)
toNoEnd date (YYYY-MM-DD)
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint. The description adds context about using historical price data but does not contradict annotations. It lacks details on potential errors, rate limits, or data availability.

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?

Two sentences with no fluff. Front-loaded with action and outcome. Every word earns its place.

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?

For a tool with 5 parameters and no output schema, the description is somewhat minimal. It does not explain return format or constraints like date format. However, annotations and schema help fill gaps, making it minimally complete.

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 covers all parameters (100% coverage). Description mentions 'historical price data' but does not elaborate on parameter meaning beyond what schema provides, which is adequate but not enhanced.

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 clearly states it calculates TEMA for a stock, using the FMP API, and explains its use in trend analysis and signal identification. This distinguishes it from sibling tools like getDEMA or getSMA.

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 analyzing trends and identifying buy/sell signals but does not specify when to choose TEMA over other moving averages (e.g., EMA, DEMA), nor does it provide contextual cues or exclusions.

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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