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Get Timeseries

get_timeseries
Read-onlyIdempotent

Get exchange rates over a date range for trend analysis. Returns daily rates between start and end dates. Example: get_timeseries(start_date: "2024-01-01", end_date: "2024-03-31", base: "USD", symbols: "EUR").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseNoBase currency code (default "EUR")
symbolsNoComma-separated target currency codes (e.g., "USD,GBP")
end_dateYesEnd date in YYYY-MM-DD format
start_dateYesStart date in YYYY-MM-DD format

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseYesBase currency code
ratesYesDaily exchange rates keyed by date then currency
end_dateYesEnd date of the time series
start_dateYesStart date of the time 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, idempotentHint, and non-destructive, covering safety and idempotency. The description adds that it returns daily rates between dates, which is useful context but not critical; the annotations bear most of the burden.

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 concise sentences with a clear example. No wasted words; front-loaded with purpose and return type.

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's simplicity (4 params, annotations present, output schema exists), the description is complete enough. It explains the return (daily rates) and provides an example. No gaps are apparent for typical 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?

Schema coverage is 100% with clear descriptions for all parameters (date format, defaults, comma-separated symbols). The description provides an example that reinforces usage, but does not add meaning beyond the schema. Baseline 3 is appropriate.

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 the tool retrieves exchange rates over a date range for trend analysis, which is a specific verb+resource. It distinguishes from siblings like get_latest by emphasizing the date range aspect, though does not explicitly name alternatives.

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 implies use for trend analysis over a date range with an example, but does not explicitly state when to avoid this tool or mention alternatives like get_latest for single dates. Usage guidance is implied but not comprehensive.

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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