Skip to main content
Glama
xiaobenyang-com

GSAP-Animation-Generate

get_gsap_api_expert

get_gsap_api_expert

Get detailed explanations and expert guidance on GSAP methods, plugins, and properties to implement animations effectively.

Instructions

Deep dive into any GSAP method, plugin, or property with expert-level knowledge

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_elementYes
levelNo

Implementation Reference

  • Core handler function that proxies tool calls to the remote API at https://mcp.xiaobenyang.com/api using the toolName (e.g., 'get_gsap_api_expert') and returns the result as MCP 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 }] };
    };
  • Wrapper handler that validates toolName and calls the core proxy function; used by all dynamic tools.
    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)
    Helper function to register each dynamic tool with the MCP server, binding the generic handler with the specific tool 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)
    Dynamic registration loop that fetches tool list from remote API (for mcpID 1777316659553283) and registers each tool, including 'get_gsap_api_expert', with appropriate schema and generic handler.
    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);
    }
  • Dynamically constructs Zod input schema from fetched JSON schema for each tool, mapping types to Zod validators.
    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();
        }
    });
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 of behavioral disclosure. It mentions 'expert-level knowledge' but doesn't specify what that entails—e.g., whether it returns detailed documentation, examples, or troubleshooting tips. It lacks information on response format, potential errors, or any operational constraints like rate limits or authentication needs.

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 without unnecessary words. Every part of the sentence contributes directly to explaining the tool's function, making it appropriately sized and well-structured.

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 complexity of a tool with 2 parameters, no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It doesn't explain what the tool returns, how to interpret results, or handle edge cases, leaving significant gaps for an AI agent to use it effectively.

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?

The input schema has 2 parameters with 0% description coverage, so the description must compensate. It implies 'api_element' refers to GSAP methods, plugins, or properties, but doesn't clarify the 'level' parameter or provide examples or formatting details. This adds minimal meaning beyond the bare schema.

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's purpose: to provide expert-level knowledge about GSAP methods, plugins, or properties through a 'deep dive'. It specifies the resource (GSAP API elements) and the action (deep dive with expert knowledge), though it doesn't explicitly differentiate from sibling tools like 'understand_and_create_animation' or 'debug_animation_issue'.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions, nor does it reference sibling tools like 'understand_and_create_animation' for broader understanding or 'debug_animation_issue' for troubleshooting.

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/xiaobenyang-com/GSAP-Animation-Generate'

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