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RSS3-Network

RSS3 MCP Server

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by RSS3-Network

API-getNodeAvatarByAddress

Retrieve avatar images for blockchain addresses using the RSS3 API to identify and visualize node identities across decentralized networks.

Instructions

Retrieve Node avatar by address

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • index.js:100-147 (registration)
    Dynamically registers and lists all MCP tools derived from RSS3 OpenAPI specifications. Tool names are constructed as `${toolName}-${method.name}` truncated to 64 characters, which includes "API-getNodeAvatarByAddress".
    server.setRequestHandler(ListToolsRequestSchema, async () => {
    	console.error("list tools");
    	/**
    	 * @typedef {import("@modelcontextprotocol/sdk/types.js").Tool} Tool
    	 * @type {Tool[]}
    	 */
    	const tools = [];
    
    	for (const mcpToolWithClient of mcpToolWithClients) {
    		for (const [toolName, def] of Object.entries(
    			mcpToolWithClient.mcpTools.tools,
    		)) {
    			for (const method of def.methods) {
    				console.error("method", method);
    				const toolNameWithMethod = `${toolName}-${method.name}`;
    				const truncatedToolName = toolNameWithMethod.slice(0, 64);
    				const trimmedDescription = method.description.split("Error")[0].trim();
    				tools.push({
    					name: truncatedToolName,
    					description: trimmedDescription,
    					inputSchema: {
    						type: "object",
    						properties: {},
    					},
    				});
    			}
    		}
    	}
    
    	tools.unshift({
    		name: "API-get-input-schema",
    		description:
    			"Get the input schema for a given API. We should always use this tool to get the input schema for a given API before calling the API.",
    		inputSchema: {
    			type: "object",
    			properties: {
    				toolName: {
    					type: "string",
    					description: "The name of the tool to get the input schema for",
    				},
    			},
    		},
    	});
    
    	console.error("tools", tools);
    
    	return { tools };
    });
  • Executes the logic for all API tools, including "API-getNodeAvatarByAddress". Looks up the corresponding OpenAPI operation using `openApiLookup[name]` and calls `client.executeOperation(operation, params)` to invoke the RSS3 API endpoint.
    server.setRequestHandler(CallToolRequestSchema, async (request) => {
    	// console.error("call tool", request.params);
    	const { name, arguments: params } = request.params;
    
    	console.error("name", name);
    
    	if (name === "API-get-input-schema") {
    		for (const mcpToolWithClient of mcpToolWithClients) {
    			for (const [toolName, def] of Object.entries(
    				mcpToolWithClient.mcpTools.tools,
    			)) {
    				for (const method of def.methods) {
    					const toolNameWithMethod = `${toolName}-${method.name}`;
    					const truncatedToolName = toolNameWithMethod.slice(0, 64);
    					if (truncatedToolName === params.toolName) {
    						return {
    							content: [
    								{ type: "text", text: JSON.stringify(method.inputSchema) },
    							],
    						};
    					}
    				}
    			}
    		}
    		throw new Error(`Method ${params.toolName} not found`);
    	}
    
    	// find operation
    	const mcpToolWithClient = mcpToolWithClients.find(
    		(t) => t.mcpTools.openApiLookup[name],
    	);
    	if (!mcpToolWithClient) {
    		throw new Error(`Method ${name} not found`);
    	}
    
    	const operation = mcpToolWithClient.mcpTools.openApiLookup[name];
    
    	// execute
    	try {
    		const response = await mcpToolWithClient.client.executeOperation(
    			operation,
    			params,
    		);
    		return {
    			content: [
    				{
    					type: "text", // currently this is the only type that seems to be used by mcp server
    					text: JSON.stringify(response.data), // TODO: pass through the http status code text?
    				},
    			],
    		};
    	} catch (error) {
    		console.error("Error in tool call", error);
    		if (error instanceof HttpClientError) {
    			console.error(
    				"HttpClientError encountered, returning structured error",
    				error,
    			);
    			const data = error.data?.response?.data ?? error.data ?? {};
    			return {
    				content: [
    					{
    						type: "text",
    						text: JSON.stringify({
    							status: "error", // TODO: get this from http status code?
    							...(typeof data === "object" ? data : { data: data }),
    						}),
    					},
    				],
    			};
    		}
    		throw error;
    	}
    });
  • Converts OpenAPI specifications to MCP tools using OpenAPIToMCPConverter, creating the `mcpTools` and `openApiLookup` used for tool lookup and execution, including for "API-getNodeAvatarByAddress".
    const mcpToolWithClients = converterWithClients.map((cwc) => {
    	const mcpTools = cwc.converter.convertToMCPTools();
    	return {
    		mcpTools,
    		client: cwc.client,
    	};
    });
  • Fetches OpenAPI specifications from RSS3 endpoints (gi.rss3.io and ai.rss3.io), creates HttpClient instances, which define the APIs including getNodeAvatarByAddress.
    const openApiSpecs = (
    	await Promise.allSettled([
    		fetch("https://gi.rss3.io/docs/openapi.json").then(async (res) => {
    			if (!res.ok) throw new Error(`HTTP error! status: ${res.status}`);
    			return res.json();
    		}),
    		fetch("https://ai.rss3.io/openapi.json").then(async (res) => {
    			if (!res.ok) throw new Error(`HTTP error! status: ${res.status}`);
    			return res.json();
    		}),
    	]).then((results) => {
    		return results.map((result) => {
    			if (result.status === "fulfilled") {
    				const client = new HttpClient(
    					{
    						baseUrl: result.value.servers[0].url,
    					},
    					result.value,
    				);
    				return {
    					spec: result.value,
    					client,
    				};
    			}
    
    			console.error("Failed to fetch openapi spec", result.reason);
    			return null;
    		});
    	})
    ).filter(Boolean);
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. While 'Retrieve' implies a read-only operation, it doesn't specify authentication requirements, rate limits, error conditions, or what format the avatar data returns (e.g., image URL, metadata). For a tool with zero annotation coverage, this is a significant gap in transparency.

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 extremely concise with just four words, front-loading the core purpose without any wasted text. It efficiently communicates the essential action and target, 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 complexity of retrieving node avatars (which likely involves authentication, data formats, and error handling), no annotations, no output schema, and a parameter mismatch (description implies 'address' parameter but schema shows none), the description is incomplete. It fails to provide enough context for reliable tool invocation in a real-world scenario.

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, meaning no parameters are documented in the schema. The description mentions 'by address', which implies an address parameter is needed, but doesn't specify it in the schema. This creates a contradiction: the description suggests a parameter while the schema says none. However, since there are 0 parameters, the baseline is 4, but the mismatch slightly reduces clarity.

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 action ('Retrieve') and target resource ('Node avatar by address'), which provides a specific verb+resource combination. However, it doesn't distinguish this tool from sibling tools like 'API-getNodeByAddress' or 'API-getNodeAssets', which also retrieve node-related information by address, leaving some ambiguity about what makes this tool unique.

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. With many sibling tools that retrieve node-related data (e.g., 'API-getNodeByAddress', 'API-getNodeAssets'), there's no indication of what specific scenario or data need this tool addresses, leaving the agent to guess based on the name alone.

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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