Skip to main content
Glama
RSS3-Network

RSS3 MCP Server

Official
by RSS3-Network

API-getNodeCountSnapshots

Retrieve historical snapshots of node count data from the RSS3 network to monitor network growth and analyze trends over time.

Instructions

Retrieve snapshots of Node count

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • index.js:108-127 (registration)
    Dynamically constructs the list of available tools, generating names like `${toolName}-${method.name}` truncated to 64 characters from the OpenAPI specifications. This is where "API-getNodeCountSnapshots" would be registered if present in the OpenAPI.
    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: {},
    				},
    			});
    		}
    	}
    }
  • The main tool execution handler for all dynamic API tools. For a tool like "API-getNodeCountSnapshots", it resolves the operation from openApiLookup[name] and calls client.executeOperation(operation, params), returning the JSON response data.
    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;
    	}
    });
  • Special handler within the tool caller that provides the input schema for any dynamic tool, including "API-getNodeCountSnapshots", by returning JSON.stringify(method.inputSchema).
    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`);
    }
  • Converts OpenAPI specs to MCP tools using OpenAPIToMCPConverter.convertToMCPTools(), creating the mcpTools.tools and openApiLookup used for registration and execution.
    const mcpToolWithClients = converterWithClients.map((cwc) => {
    	const mcpTools = cwc.converter.convertToMCPTools();
    	return {
    		mcpTools,
    		client: cwc.client,
    	};
    });
  • Initializes OpenAPIToMCPConverter and HttpClient for each OpenAPI spec fetched from RSS3 endpoints.
    const converterWithClients = openApiSpecs.map((o) => {
    	const converter = new OpenAPIToMCPConverter(o.spec);
    	return {
    		converter,
    		client: o.client,
    	};
    });
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 only states the action ('Retrieve') without detailing output format, rate limits, authentication needs, or whether it's a read-only operation. For a tool with zero annotation coverage, this is insufficient to inform safe and effective use.

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 no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly, which is ideal for a simple tool.

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 and output schema, the description is incomplete. It doesn't explain what 'snapshots' entail (e.g., time-series data, format) or behavioral aspects like error handling. For a tool with no structured metadata, more context is needed to ensure reliable agent operation.

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 tool has 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate, earning a baseline score of 4 for adequately handling the lack of parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Retrieve snapshots of Node count' clearly states the verb ('Retrieve') and resource ('snapshots of Node count'), but it's somewhat vague about what 'Node count' specifically refers to in this context. It doesn't differentiate from sibling tools like 'getAllNodes' or 'getStakerCountSnapshots', leaving ambiguity about the exact scope.

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 any prerequisites, context, or exclusions, nor does it reference sibling tools for comparison, leaving the agent to infer usage 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.

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/RSS3-Network/mcp-server-rss3'

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