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Get Current G10 FX Rate

get_fx_rate_current
Read-onlyIdempotent

Returns the current exchange rate for a G10 currency pair. Source: European Central Bank. Supported: EURUSD, GBPUSD, USDJPY, USDCHF, USDCAD, AUDUSD, NZDUSD, USDSEK, USDNOK.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pairYesG10 currency pair e.g. EURUSD, USDJPY, GBPUSD

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesDate of the rate (YYYY-MM-DD)
pairYesCurrency pair identifier
rateYesCurrent exchange rate
labelYesHuman-readable pair name

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the source (European Central Bank) and explicitly lists supported pairs, but does not disclose update frequency, any latency, or whether the rate is a mid-price or bid/ask. This adds some context but not substantial behavioral detail beyond annotations.

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 sentence followed by a compact list of supported pairs. It is front-loaded with the primary action and resource, contains no filler, and every sentence earns its place. The structure is highly scannable and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has a single parameter, an output schema (true), and strong annotations, the description covers the essential what (current rate), source, and supported inputs. It does not mention how to retrieve historical or series data, but that is addressed via sibling tool names. For a simple read tool, the description is sufficiently complete for correct use.

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?

The input schema has 100% coverage for the 'pair' parameter, including an enum and a description with examples. The description repeats the enum values and the phrase 'G10 currency pair', which is already in the schema. It adds no additional meaning about parameter semantics or formatting beyond what the schema provides, so baseline 3 applies.

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 the tool returns the current exchange rate for a G10 currency pair, with a specific verb ('Returns') and resource ('current exchange rate'). It distinguishes from sibling tools by emphasizing 'current', contrasting with get_fx_rate_by_date and get_fx_rate_series. The supported pairs are explicitly listed, leaving no ambiguity.

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?

The description clearly implies this tool is for current rates, which contrasts with historical or series tools available as siblings. However, it does not explicitly name alternatives or state 'when not to use' this tool. The context signals include sibling names, so the agent can infer, but the description itself lacks direct exclusionary guidance.

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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TDQS

A3.9/5.0
Disambiguation3/5

The tool set has several overlapping functions, particularly among the bundle tools (e.g., get_bundle_context_brief vs get_bundle_macro both provide macro indicators, and get_bundle_rate_environment overlaps with get_yield_curve and get_policy_spread). Individual current/history/date tools are distinct but some redundancy exists (e.g., get_treasury_yield_current vs get_current_value for DGS30). Descriptions help differentiate purposes, but agents may still hesitate when selecting between similar bundles.

Naming Consistency4/5

All tool names begin with the verb 'get_' and use snake_case, creating a consistent pattern. The bundle tools are uniformly prefixed with 'get_bundle_', and individual data tools follow a get_[entity]_[modifier] structure (e.g., get_fx_rate_current, get_fx_rate_by_date, get_fx_rate_series). Minor deviations exist (e.g., get_series, get_current_value, get_value_by_date are less descriptive of the underlying entity), but overall the naming is predictable and readable.

Tool Count3/5

With 24 tools, the server is on the heavy side of the typical range. The broad domain (macro data, mortgage, crypto, FX, treasury, EDGAR) justifies many tools, but some could potentially be consolidated (e.g., individual rate tools vs rate bundles). The count does not feel overwhelming, but it is borderline heavy.

Completeness4/5

The server covers a wide range of economic and financial data with both bundled and granular views. It includes current, historical, and date-specific retrievals for FRED series, FX, and crypto, plus specialized tools for mortgages, recession, and yield curves. Minor gaps exist, such as no way to list all supported FRED series or full financial statements for EDGAR, but the core lifecycle of data querying is well covered.