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Glama

Primary Source Commodities

Latest FX Rate

fx.latest
Read-onlyIdempotent

Return the latest FX rate observation for a pair or FRED FX series. Useful alongside commodity prices when converting cash values across currencies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pairYesFX pair or series id. Example: EURUSD, USDCNY, DTWEXBGS.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNoStable observation id
nameYesHuman-readable instrument name
unitYesUnit of measure
as_ofYesAs-of date for the observation
valueYesObserved numeric value
inputsNoInput series ids when derived
sourceYesPrimary source provenance
derivedYesTrue when value is derived
formulaNoDerivation formula when derived
qualityYesData quality label
raw_hashNoHash of raw source payload
series_idYesUnderlying series id
instrumentYesInstrument code, e.g. CL
provenanceYesRetrieval / cache provenance
license_tagYesLicense / redistribution tag
observed_atYesISO timestamp when observed
freshness_classYesFreshness class for the series

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the description adds limited behavioral context beyond stating it returns an observation. It does not contradict annotations and provides minor additional context about the resource type.

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?

Two sentences, front-heavy with the core function, no unnecessary words. Every sentence adds value.

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?

For a simple one-parameter tool with annotations and an output schema, the description is largely sufficient. It covers the main purpose and a use case, though it could clarify what 'latest' means (e.g., most recent available observation) without relying solely on the output schema.

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% for the single parameter 'pair', so the description does not need to add parameter semantics. The baseline of 3 applies as the description adds no extra meaning beyond the schema.

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 clearly states it returns the latest FX rate for a pair or FRED FX series, with a specific verb and resource. It mentions a use case alongside commodity prices, but does not explicitly differentiate from sibling tools like price.latest.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description suggests usage for converting cash values across currencies, but lacks explicit guidance on when to use this tool versus alternatives (e.g., price.latest) or when not to use it. No exclusions or alternatives are mentioned.

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

A4.2/5.0
Disambiguation5/5

Each tool has a distinct purpose: calendar.get for release dates, catalog.list for instrument discovery, price.latest and price.history for prices, inventory.get for inventory, positioning.get for CFTC data, fundamentals.get for reports, fx.latest for FX rates, snapshot.get for sector overview, spread.get for derived spreads, and decision.get for deterministic decisions. No overlapping functionality.

Naming Consistency5/5

All tools follow a consistent noun.verb pattern (e.g., calendar.get, catalog.list, price.latest, snapshot.get). The naming is predictable and makes the tool's purpose clear at a glance.

Tool Count5/5

With 11 tools, the server is well-scoped for a commodity data platform. Each tool covers a distinct aspect (calendar, catalog, prices, inventory, positioning, fundamentals, FX, snapshots, spreads, decisions) without unnecessary bloat.

Completeness4/5

The tool set covers core commodity data needs: price discovery (catalog, latest, history), fundamentals (WASDE, etc.), inventory (EIA), positioning (CFTC), spreads, FX conversion, and summaries. Minor gaps include limited price history (500 points) and no explicit support for options or shipping data, but the overall surface is strong.

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