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products_list

Retrieve available products and bundles from the Pickaxe studio to manage AI agent offerings and configurations.

Instructions

List all available products/bundles in the Pickaxe studio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
studioNoStudio name to use. Available: STAGING, MAIN, DEV, PRODUCTION. Default: PRODUCTION

Implementation Reference

  • The handler function for the 'products_list' tool. It makes a GET request to the Pickaxe API endpoint '/studio/product/list' using the provided studio and returns the JSON-formatted result.
    case "products_list": {
      const result = await pickaxeRequest("/studio/product/list", "GET", undefined, studio);
      return JSON.stringify(result, null, 2);
    }
  • src/index.ts:399-408 (registration)
    Registration of the 'products_list' tool in the tools array, including its name, description, and input schema which accepts an optional 'studio' parameter.
    {
      name: "products_list",
      description: "List all available products/bundles in the Pickaxe studio.",
      inputSchema: {
        type: "object",
        properties: {
          studio: studioParam,
        },
      },
    },
  • Input schema definition for the 'products_list' tool, defining an optional 'studio' parameter.
    inputSchema: {
      type: "object",
      properties: {
        studio: studioParam,
      },
    },
  • Helper function used by the handler to make authenticated API requests to Pickaxe, including the one for products_list.
    async function pickaxeRequest(
      endpoint: string,
      method: "GET" | "POST" | "PATCH" | "DELETE" = "GET",
      body?: Record<string, unknown>,
      studio?: string
    ): Promise<unknown> {
      const apiKey = getApiKey(studio);
      const url = endpoint.startsWith("http") ? endpoint : `${PICKAXE_BASE_URL}${endpoint}`;
    
      const options: RequestInit = {
        method,
        headers: {
          "Content-Type": "application/json",
          "Authorization": `Bearer ${apiKey}`,
        },
      };
    
      if (body && method !== "GET") {
        options.body = JSON.stringify(body);
      }
    
      const response = await fetch(url, options);
    
      if (!response.ok) {
        const errorText = await response.text();
        throw new Error(`Pickaxe API error (${response.status}): ${errorText}`);
      }
    
      return response.json();
    }
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states this is a list operation but doesn't describe what 'list all' entails (e.g., pagination, sorting, filtering capabilities), whether it requires authentication, or what format the output takes. The description is minimal and lacks important behavioral context.

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 gets straight to the point with zero wasted words. It's appropriately sized for a simple list operation and is perfectly front-loaded with the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple list tool with one optional parameter and no output schema, the description is minimally adequate. However, without annotations and with no output schema, it should ideally provide more context about what the tool returns and any behavioral constraints. The description covers the basic purpose but leaves gaps in usage and behavioral understanding.

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?

The schema description coverage is 100%, with the single parameter 'studio' fully documented in the schema. The description doesn't add any parameter-specific information beyond what's already in the schema, so it meets the baseline expectation without providing extra value.

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 ('List') and resource ('products/bundles in the Pickaxe studio'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'doc_list' or 'studios_list' beyond mentioning the specific resource type.

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 compare it to similar sibling tools like 'doc_list' or 'studios_list' that also list resources.

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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