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MCPFax Macro & Market Intelligence

FX reference rates

fx_reference_rates
Read-onlyIdempotent

European Central Bank reference foreign-exchange rates for a chosen base currency, with the ECB observation date. Refreshed automatically by a Worker cron from Frankfurter. These are daily reference rates, not live tradable quotes, and every response carries snapshot.captured_at and snapshot.age_hours. Costs $0.005 USDC per call via x402 on Base; an unpaid call returns the payment challenge instead of data, and a call that returns no data is never settled so it costs nothing. Equivalent HTTP route: GET /fx.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseNoBase currency ISO-4217 (default USD) Example: 'USD'.
as_ofNoReturn the stored capture in effect at this UTC date or ISO timestamp instead of the latest one (append-only history; not subject to the freshness limit) Example: 'undefined'.
symbolsNoComma-separated target currencies Example: 'EUR,GBP,JPY'.

TDQS

A4.4/5.0
Behavior5/5

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

Annotations are absent, so the description carries the full burden. It discloses the cron refresh mechanism, the daily/reference nature, the response fields `snapshot.captured_at` and `snapshot.age_hours`, the per-call cost, the payment challenge on unpaid calls, and that no-data calls are never setted. That is comprehensive behavioral disclosure for a read-only data tool.

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?

Three sentences, each earns its place: first defines the resource, second explains data nature and freshness fields, third explains cost and payment behavior plus the equivalent HTTP route. It is front-loaded with purpose and contains no filler.

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?

The description covers freshness, payment/settlement behavior, and the key response fields, which matters because there is no output schema. It omits the precise rate-mapping format, but the core semantics are complete enough for an agent to invoke it correctly.

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%, and both `base` and `as_of` already have clear schema-level descriptions. The tool description adds only marginal input-relevant context, such as 'chosen base currency' and 'ECB observation date', but does not meaningfully compensate or extend parameter semantics beyond what the schema provides.

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 identifies a specific resource — European Central Bank reference foreign-exchange rates for a chosen base currency — and explains that these are daily reference rates, not live tradable quotes. This makes the tool distinct from the crypto/defi/treasury siblings and leaves no doubt about what it does.

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 when to use it: when official ECB daily reference rates are needed, with freshness information. It also explicitly excludes live tradable quotes, which is a key usage boundary. It does not name alternative sibling tools or provide when-not-to conditions beyond the 'not live' qualifier, so it stops short of full routing 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

A4.3/5.0
Disambiguation4/5

Most tools target distinct resources: defi_protocol vs defi_protocols are clearly list-vs-detail, and crypto_spot_prices vs defi_token_prices are explicitly differentiated. The main overlap is prediction_market_search vs polymarket_markets/manifold_markets, but the cross-venue purpose is clearly stated.

Naming Consistency5/5

All tool names use snake_case with a consistent resource-noun pattern (defi_, polymarket_, us_, etc.). Plural/singular variants are logical (defi_protocol vs defi_protocols, polymarket_market vs polymarket_markets), and no unconventional casing or verb-style mixing appears.

Tool Count4/5

18 tools is slightly above the ideal 3-15 range, but the server covers a broad domain (crypto, DeFi, prediction markets, macro, FX, rates), so each tool serves a distinct data type. The count feels justified by the breadth rather than redundant.

Completeness4/5

The surface covers major market intelligence categories well: prices, yields, TVL, prediction markets, macro indicators, and FX. Minor gaps exist (e.g., no equities/commodities, limited macro series, no historical crypto data), but the core workflows for macro and market overview are supported without dead ends.

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