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xiaobenyang-com

CurrencyAndOil

get_brent_rub_rate

get_brent_rub_rate

Retrieve the current Brent crude oil price in Russian rubles per barrel for financial analysis and automation integration.

Instructions

Get current Brent crude oil price in RUB per barrel from zenrus.ru

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • Core handler function that proxies the tool call to the remote API at https://mcp.xiaobenyang.com/api, passing toolName 'get_brent_rub_rate' and arguments, and formats the response as MCP text content.
    const calcXiaoBenYangApi = async function (fullArgs: Record<string, any>) {
        // 发起 POST 请求
        let response = await fetch('https://mcp.xiaobenyang.com/api', {
            method: 'POST',
            headers: {
                'XBY-APIKEY': apiKey,
                'func': fullArgs.toolName,
                'mcpid': mcpID
            },
            body: new URLSearchParams(fullArgs)
        });
        const apiResult = await response.text();
    
        return {
            content: [
                {
                    type: "text",
                    text: apiResult // 将字符串结果放入 content 中
                }
            ]
        } as { [x: string]: unknown; content: [{ type: "text"; text: string }] };
    };
  • Helper function that prepares arguments by adding toolName and calls the core proxy handler.
    const handleXiaoBenYangApi = async (args: Record<string, any>, toolName: string) => {
        // 校验aid是否存在
        if (toolName === undefined || toolName === null) {
            throw new Error("缺少必要参数 'aid'");
        }
        // 合并参数
        const fullArgs = {...args, toolName: toolName};
        // 调用API
        return calcXiaoBenYangApi(fullArgs);
    };
  • src/mcp.ts:50-65 (registration)
    Registers a tool on the MCP server with the given name, description, input schema, and the shared handler passing the name.
    const addToolXiaoBenYangApi = function (
        name: string,
        desc: string,
        params: Record<string, ZodType>
    ) {
        server.registerTool(
            name,
            {
                title: name,
                description: desc,
                inputSchema: params,
            }
            ,
            async (args: Record<string, any>) => handleXiaoBenYangApi(args, name)
        )
    };
  • src/mcp.ts:90-132 (registration)
    Dynamically registers all tools (including get_brent_rub_rate) by fetching the tool list from https://mcp.xiaobenyang.com/getMcpDesc?mcpId=1777316659852291, parsing JSON schemas to Zod, and calling addToolXiaoBenYangApi for each.
    for (const apiDesc of apiDescList) {
        let inputSchema = JSON.parse(apiDesc.inputSchema);
        const zodDict: Record<string, z.ZodTypeAny> = {};
    
        Object.entries(inputSchema.properties).forEach(([name, propConfig]) => {
            let zodType;
            let pt = (propConfig as { type: string }).type;
            switch (pt) {
                case 'string':
                    zodType = z.string();
                    break;
                case 'number':
                    zodType = z.number();
                    break;
                case 'boolean':
                    zodType = z.boolean();
                    break;
                case 'integer':
                    zodType = z.int32();
                    break;
                case 'array':
                    zodType = z.array(z.any());
                    break;
                case 'object':
                    zodType = z.object(z.any());
                    break;
                default:
                    zodType = z.any();
            }
    
            if (inputSchema.required?.includes(name)) {
                zodDict[name] = zodType;
            } else {
                zodDict[name] = zodType.optional();
            }
        });
    
    
        addToolXiaoBenYangApi(
            apiDesc.name,
            apiDesc.description ? apiDesc.description : apiDesc.name,
            zodDict);
    }
  • Builds Zod input schema dynamically from the remote tool's JSON schema properties and required fields.
    Object.entries(inputSchema.properties).forEach(([name, propConfig]) => {
        let zodType;
        let pt = (propConfig as { type: string }).type;
        switch (pt) {
            case 'string':
                zodType = z.string();
                break;
            case 'number':
                zodType = z.number();
                break;
            case 'boolean':
                zodType = z.boolean();
                break;
            case 'integer':
                zodType = z.int32();
                break;
            case 'array':
                zodType = z.array(z.any());
                break;
            case 'object':
                zodType = z.object(z.any());
                break;
            default:
                zodType = z.any();
        }
    
        if (inputSchema.required?.includes(name)) {
            zodDict[name] = zodType;
        } else {
            zodDict[name] = zodType.optional();
        }
    });
Behavior3/5

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 states the tool fetches current data, implying it's a read-only operation, but doesn't disclose behavioral traits like rate limits, error handling, or data freshness. The description adds basic context but lacks depth on operational constraints.

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 that front-loads the core purpose ('Get current Brent crude oil price') and includes essential details (currency, source) without redundancy. Every word earns its place, making it highly concise and well-structured.

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 (0 parameters, no annotations, no output schema), the description is nearly complete: it specifies what data is retrieved, in what currency, and from which source. However, it lacks details on output format or potential errors, which could be helpful despite the absence of an output schema.

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 doesn't mention parameters, which is appropriate, but it could theoretically add context about implicit inputs (e.g., source dependency). Baseline is 4 for zero parameters, as the schema fully covers the absence.

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'), resource ('current Brent crude oil price'), and key details ('in RUB per barrel from zenrus.ru'). It precisely distinguishes this tool from its siblings (e.g., get_brent_usd_rate for USD pricing, get_eur_rate for EUR rates).

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

Usage Guidelines5/5

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

The description explicitly indicates when to use this tool: for retrieving Brent crude oil prices in RUB per barrel. It implicitly distinguishes it from alternatives by specifying the currency (RUB) and source (zenrus.ru), guiding users away from sibling tools like get_brent_usd_rate or other currency calculators.

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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