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Financial Modeling Prep MCP Server

Financial Modeling Prep MCP Server

getForex1MinuteData

Read-onlyIdempotent

Fetch 1-minute intraday forex data for a currency pair and optional date range to analyze short-term price movements.

Instructions

Access real-time 1-minute intraday forex data with the 1-Minute Forex Interval Chart API. Track short-term price movements for precise, up-to-the-minute insights on currency pair fluctuations.

Input Schema

NameRequiredDescriptionDefault
toNoEnd date (YYYY-MM-DD)
symbolYesForex pair symbol (e.g., EURUSD)
from_dateNoStart date (YYYY-MM-DD)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv2.9.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • removedInput schema / additionalProperties
      Removed value: -false
  2. Changed2 schema fields changedv2.6.10
    • removedInput schema / properties / from
      Removed value: -{
      -  "description": "Start date (YYYY-MM-DD)",
      -  "type": "string"
      -}
    • addedInput schema / properties / from_date
      Added value: +{
      +  "description": "Start date (YYYY-MM-DD)",
      +  "type": "string"
      +}
  3. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds the data-freshness trait ('real-time') and granularity, which is useful context beyond the annotations, but it says nothing about history depth, rate limits, or how the from/to window constrains results.

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?

Two sentences, front-loaded with the core capability. The second sentence is largely marketing filler ('precise, up-to-the-minute insights') that restates 'real-time' without adding operational information.

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 three well-documented parameters and no output schema, the definition is minimally sufficient. However, for a time-series data tool, the absence of any statement about date-range semantics, historical availability, or response shape leaves gaps an agent would want filled.

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 symbol, from_date, and to are already documented with format hints. The description adds no meaning beyond the schema — it never mentions the date-range parameters or any symbol formatting rule — so the baseline 3 applies.

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?

The description states a specific verb and resource: 'Access real-time 1-minute intraday forex data.' The interval granularity ('1-minute') implicitly distinguishes it from siblings like getForex5MinuteData and getForex1HourData, but it never names those alternatives, so the differentiation is left to inference.

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?

'Track short-term price movements' hints at a use case, but there is no explicit when-to-use guidance, no condition that selects this interval over the 5-minute or 1-hour siblings, and no prerequisites or exclusions. An agent must guess which granularity tool to call.

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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