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getFxExchangeRates

Real-time foreign exchange (FX) mid-market spot rates, bid/ask spreads, and daily volatility for fiat currency pairs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
base_currencyYes3-letter ISO currency code (e.g., USD, EUR, GBP, CHF)
target_currencyYes3-letter ISO target currency code (e.g., EUR, HUF, JPY)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose the data profile (real-time, mid-market spot, bid/ask, volatility) plus a real scope constraint (fiat only). However, it says nothing about auth requirements, rate limits, daily vs. intraday granularity, or error behavior for unsupported pairs.

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?

A single dense sentence with no filler, and the most important information (what the rates are and for which asset class) is front-loaded. It is a noun-phrase fragment rather than a verb-led statement, which slightly weakens actionability.

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 simple two-parameter read tool, the description adequately conveys the returned data even without an output schema, and the schema fully covers inputs. Gaps remain around call semantics (auth, rate limits, refresh cadence) that an agent would otherwise get from annotations, which are absent.

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% – both base_currency and target_currency are documented with ISO code format and examples. The description adds no parameter-level meaning beyond that, so the baseline of 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 names a specific resource (foreign exchange mid-market spot rates) and enumerates exactly what is returned: spot rates, bid/ask spreads, and daily volatility. The 'fiat currency pairs' qualifier usefully separates it from crypto (getCryptoDexLiquidity) and policy-rate siblings (getCentralBankRates), though it never names those alternatives explicitly.

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?

There is no when-to-use statement, no prerequisites, and no mention of sibling tools or the conditions that would route an agent here versus getCentralBankRates or getCryptoDexLiquidity. Usage is only implied by the subject matter.

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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