Skip to main content
Glama
atomcp-ai

polygon-mcp

by atomcp-ai

forex_real_time_conversion

Convert an amount from one currency to another using current forex market rates. Input the source and target currency symbols to get an accurate real-time conversion.

Instructions

Convert currency using latest market rates. e.g., USD to EUR.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountYes
precisionNo
to_symbolYes
from_symbolYes
Behavior3/5

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

With no annotations, the description carries the burden. It does disclose the use of 'latest market rates,' indicating real-time or current data. However, it does not mention return format, handling of precision, or any limitations. For a non-destructive conversion tool, this is moderate transparency but lacks useful details.

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, efficient sentence with an illustrative example. It is front-loaded and contains no fluff, making it easy to parse quickly.

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?

Given the lack of annotations, no output schema, and 0% parameter descriptions, the description is too minimal. It does not specify what the tool returns (e.g., just converted amount, object with rate), nor does it explain the precision parameter. This leaves significant gaps for an agent to use the tool correctly.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. The example 'USD to EUR' clarifies from_symbol and to_symbol, but it does not explain the 'precision' parameter or the expected symbol format. Amount is self-explanatory by name, but overall the description adds minimal semantic value beyond the schema.

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 tool's function with a specific verb ('Convert') and resource ('currency using latest market rates'). The example 'USD to EUR' reinforces the action and distinguishes it from sibling tools, which are mostly technical indicators and market data fetchers.

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 usage through its clear verb and example, but it does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions. Since there are no direct sibling conversion tools, the implied usage is acceptable but not explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/atomcp-ai/polygon-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server