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Market Intel MCP

fx_timeseries

Get a time series of exchange rates for a base currency over a date range (max ~1 year), useful for trend analysis. Provide start and end as YYYY-MM-DD and one or more target currencies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endYesYYYY-MM-DD
baseNo3-letter base (default USD)
startYesYYYY-MM-DD
symbolsYesComma-separated targets, e.g. EUR,GBP

Schema Changelog

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

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It discloses the approximate one-year range limit and implies a series of exchange rates, but it does not cover other behavioral details such as output structure, rate limits, or handling of invalid date ranges. This is adequate but not rich.

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, front-loaded sentence that communicates the tool's purpose, its primary use case, the date range limit, and the input requirements without any filler or redundancy. Every part earns its place.

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 read-only tool with fully documented parameters, the description covers the core operational details: purpose, date range, input formats, and target currencies. There is no output schema, so the response shape is not specified, but the phrase 'time series' gives a reasonable expectation of the return concept.

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 the baseline is 3. The description reinforces that start and end are YYYY-MM-DD and that one or more target currencies are needed, but it does not add meaning beyond what the input schema already documents, such as the comma-separated format or the default base currency.

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 a specific action: retrieving a time series of exchange rates for a base currency over a date range. It also adds the use case of trend analysis, which helps distinguish it from a simple conversion or currency-list tool, though it does not explicitly contrast with the similarly named fx_historical or fx_rates siblings.

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 gives clear context for when to use the tool: for trend analysis over a date range of roughly up to one year. It does not explicitly mention alternatives or exclusions, but the stated use case is sufficient for an agent to select it appropriately in most situations.

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
Disambiguation5/5

Each tool targets a clearly distinct function: currency conversion, listing supported currencies, historical rates for a single date, latest rates, and time-series analysis. There is no meaningful overlap or ambiguity between the tool purposes.

Naming Consistency4/5

All tools share the consistent 'fx_' prefix and use snake_case, making the set feel cohesive. Minor inconsistency exists because some names are verbs (convert) while others are nouns (rates, currencies), but the pattern is still predictable and readable.

Tool Count5/5

Five tools form a well-scoped set for a foreign-exchange reference data server. Each tool earns its place by covering a distinct common FX lookup scenario without unnecessary redundancy.

Completeness4/5

The surface covers the core FX workflows: current rates, historical rates, time series, conversion, and currency metadata. Minor gaps exist, such as no explicit inverse-rate calculation or multiple base currencies in one request, but these are easily worked around with the provided convert and rates tools.