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Finbolt

fetch_ema

Fetch Exponential Moving Average (EMA) technical indicator time series with greater weight on recent prices.

Input Schema

NameRequiredDescriptionDefault
symbolYesStock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA') for which to calculate Exponential Moving Average
datatypeNoResponse data type.json
end_dateNoOptional end date filter in YYYY-MM-DD format (e.g., '2024-12-31').
intervalYesTime interval for data points.
start_dateNoOptional start date filter in YYYY-MM-DD format (e.g., '2024-01-01').
series_typeNoPrice data to use for calculation.close
time_periodYesNumber of data points to use for moving average calculation (e.g., 12 for 12-period EMA)
max_data_pointsNoMaximum number of time series data points to return.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a read-only fetch and mentions EMA weighting, but it does not cover rate limits, authentication needs, response format, data source, or how the returned time series is structured.

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 a single front-loaded sentence with no filler. It is appropriately sized for a definition that relies on a rich schema for parameter details.

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?

The schema fully documents the 8 parameters, but there are no annotations and no output schema. The description says a time series is returned, yet it omits response structure and operational context, leaving the definition adequate but with clear gaps.

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 description coverage is 100%, so all parameters are already documented in the input schema, including symbol, interval, time_period, series_type, and max_data_points. The description does not add parameter-specific meaning beyond the schema, which is acceptable at this coverage level.

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 states a specific verb and resource: fetch the Exponential Moving Average technical indicator time series. It also distinguishes EMA from moving-average siblings by noting the greater weight on recent prices, so the agent can identify what the tool produces without opening the schema.

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?

The description explains what EMA is but gives no explicit guidance on when to use this tool versus alternatives such as fetch_sma, fetch_macd, fetch_rsi, or fetch_bbands. There are no exclusions, prerequisites, or alternative-selection cues.

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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