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cfocoder

Banxico MCP Server

by cfocoder
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

get_latest_usd_mxn_rate

Retrieve the current USD to MXN exchange rate from Mexico's central bank (Banxico) with the date of the rate.

Instructions

Get the latest USD/MXN exchange rate from Banxico.

Returns: The most recent USD/MXN exchange rate with date

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Implementation Reference

  • banxico_mcp_server.py:323-340 (handler)
    The handler function decorated with @mcp.tool() that implements the get_latest_usd_mxn_rate tool. It checks for the API token, fetches timely USD/MXN exchange rate data from Banxico's SIE API using the endpoint 'series/SF63528/datos/oportuno', handles errors, and formats the response using format_exchange_rate_data.
    async def get_latest_usd_mxn_rate() -> str:
    """
    Get the latest USD/MXN exchange rate from Banxico.
        
    Returns:
        The most recent USD/MXN exchange rate with date
    """
    if not BANXICO_TOKEN:
        return "Error: BANXICO_API_TOKEN environment variable not set. Please configure your API token."
    
    endpoint = "series/SF63528/datos/oportuno"
    data = await make_banxico_request(endpoint, BANXICO_TOKEN)
    
    if not data:
        return "Failed to retrieve exchange rate data. Please check your API token and network connection."
    
    return format_exchange_rate_data(data)

Tool Definition Quality

A3.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses the return format (rate with date) but lacks behavioral details such as rate limits, authentication needs, data freshness, or error handling. This is a significant gap for a tool with zero annotation coverage.

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 front-loaded with the core purpose in the first sentence, followed by a concise return statement. Every sentence earns its place with no wasted words, making it highly efficient and well-structured.

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

Completeness3/5

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

Given the tool's simplicity (0 parameters, output schema exists), the description is adequate but incomplete. It covers the purpose and return values, but without annotations, it misses key behavioral context like reliability or constraints. The output schema reduces the need to explain returns, but gaps remain.

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?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description adds value by specifying the data source (Banxico) and return content, which goes beyond the schema. Baseline is 4 for zero parameters.

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 clearly states the specific action ('Get the latest USD/MXN exchange rate') and the source ('from Banxico'), distinguishing it from sibling tools like 'get_usd_mxn_historical_data' which handles historical data. It precisely identifies both the verb and resource.

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 implies usage context by specifying 'latest' exchange rate, suggesting this tool is for current data rather than historical ranges (handled by 'get_usd_mxn_historical_data'). However, it lacks explicit guidance on when not to use it or alternatives for other financial data like reserves or inflation.

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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