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datasets_download

Generate a single-use token to securely download any dataset by its UUID.

Instructions

Generate a single-use download token for securely downloading datasets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
uuidYesDataset UUID

Implementation Reference

  • src/index.js:52-52 (registration)
    Tool 'datasets_download' is registered in the STATIC_TOOLS catalog as a static tool definition with its name, description, and inputSchema (requiring 'uuid'). This is a proxy server — the actual handler logic is on the remote server.
    { name: "datasets_download", description: "Generate a single-use download token for securely downloading datasets.", inputSchema: { type: "object", properties: { uuid: { type: "string", description: "Dataset UUID" } }, required: ["uuid"] } },
  • Input schema for datasets_download: type object with required 'uuid' (string) property for the dataset UUID.
    { name: "datasets_download", description: "Generate a single-use download token for securely downloading datasets.", inputSchema: { type: "object", properties: { uuid: { type: "string", description: "Dataset UUID" } }, required: ["uuid"] } },
  • Generic CallToolRequestSchema handler that proxies all tool calls (including datasets_download) to the remote MCP server via remoteClient.callTool(). No local implementation exists.
    server.setRequestHandler(CallToolRequestSchema, async (request) => {
      if (!remoteClient) {
        return {
          content: [
            {
              type: "text",
              text: "MCP Analytics API key required. Set MCP_ANALYTICS_API_KEY in your environment.\nGet a free key at https://app.mcpanalytics.ai",
            },
          ],
          isError: true,
        };
      }
    
      try {
        const result = await remoteClient.callTool({
          name: request.params.name,
          arguments: request.params.arguments || {},
        });
        return result;
      } catch (err) {
        return {
          content: [{ type: "text", text: `Error: ${err.message}` }],
          isError: true,
        };
      }
    });
Behavior3/5

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

No annotations provided, so description carries burden. It discloses 'single-use' and 'secure', but does not mention side effects, authentication needs, or whether previous tokens are invalidated. Provides partial 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?

Single sentence, concise and to the point. No unnecessary words, front-loaded with key information.

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?

Tool is simple with one required parameter and no output schema. Description explains core functionality; missing details like return format (e.g., token string) but acceptable given simplicity. Nearly complete.

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

Parameters3/5

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

Schema description coverage is 100% (uuid defined as 'Dataset UUID'). Description adds context ('single-use download token') but does not significantly augment parameter meaning beyond schema. Baseline 3 applies.

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?

Description clearly states the action ('generate'), the resource ('single-use download token'), and the purpose ('securely downloading datasets'). It distinguishes from sibling tools like datasets_list (listing), datasets_read (reading metadata), datasets_upload (uploading), and datasets_update (modifying).

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?

No explicit guidance on when to use this tool versus alternatives, such as first using datasets_list or datasets_read to obtain the UUID. The description implies usage for downloading but lacks prerequisites or exclusion criteria.

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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