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kevynf

AKBridge MCP Server

by kevynf

currency_time_series

Read-onlyIdempotent

Retrieve time-series exchange rate data for a base currency and specified symbols over a date range. Requires a currencyscoop API key.

Instructions

Time-series data from currencyscoop.com P.S. need special authority https://currencyscoop.com/api-documentation :param base: The base currency you would like to use for your rates :type base: str :param start_date: Specific date, e.g., "2020-02-03" :type start_date: str :param end_date: Specific date, e.g., "2020-02-03" :type end_date: str :param symbols: A list of currencies you will like to see the rates for. You can refer to a list all supported currencies here :type symbols: str :param api_key: Account -> Account Details -> API KEY (use as password in external tools) :type api_key: str :return: Latest data of base currency :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
baseNoUSD
api_keyNo
symbolsNo
end_dateNo2023-03-04
start_dateNo2023-02-03
Behavior2/5

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 'need special authority' and API key requirement, which is useful. However, the return docstring 'Latest data of base currency' is misleading for a time-series tool, and there is no disclosure of rate limits, error behavior, or date range constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a short purpose line followed by a standard docstring block. It is structured and readable, but not front-loaded: the critical 'need special authority' note is buried in the second line, and the param docs could be condensed into a more concise narrative. The external link adds value but the overall length is somewhat excessive for an MCP tool description.

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

Completeness2/5

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

With no output schema, the description should explain what the returned DataFrame contains (columns, index, etc.), but it only says 'Latest data of base currency' which is inaccurate for a time series. It also does not clarify the interplay of start_date, end_date, and symbols, or what happens when all parameters are optional with defaults. The external API documentation link helps but does not compensate for the missing operational details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description carries the full burden for parameter meaning. It documents all five parameters with types, date examples for start_date and end_date, clarifies symbols is a list, and gives specific guidance for api_key. Minor vagueness remains: the symbols description says 'You can refer to a list all supported currencies here' without a working link, but overall it compensates well for the empty schema descriptions.

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 opens with 'Time-series data from currencyscoop.com' which identifies the resource and data type but lacks an explicit verb like 'retrieve' or 'fetch'. The parameter and return docs make the function's purpose clearer, and it is distinguishable from sibling currency tools like currency_latest because it focuses on time series over a date range.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like currency_history, currency_latest, or currency_convert. The only contextual note is 'need special authority', which is a warning rather than a usage guideline. No explicit exclusions or recommended scenarios 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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