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user_get

Retrieve user details by email address from the Pickaxe platform to access profile information and manage user data across studio environments.

Instructions

Get details for a specific user by email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
studioNoStudio name to use. Available: STAGING, MAIN, DEV, PRODUCTION. Default: PRODUCTION
emailYesThe user's email address

Implementation Reference

  • Handler for the 'user_get' tool. Fetches user details by email via a GET request to the Pickaxe API and returns the JSON response.
    case "user_get": {
      const result = await pickaxeRequest(`/studio/user/${encodeURIComponent(args.email as string)}`, "GET", undefined, studio);
      return JSON.stringify(result, null, 2);
    }
  • src/index.ts:278-292 (registration)
    Registration of the 'user_get' tool in the tools array, including name, description, and input schema definition.
    {
      name: "user_get",
      description: "Get details for a specific user by email.",
      inputSchema: {
        type: "object",
        properties: {
          studio: studioParam,
          email: {
            type: "string",
            description: "The user's email address",
          },
        },
        required: ["email"],
      },
    },
  • Input schema for 'user_get' tool, requiring 'email' parameter and optional 'studio'.
    inputSchema: {
      type: "object",
      properties: {
        studio: studioParam,
        email: {
          type: "string",
          description: "The user's email address",
        },
      },
      required: ["email"],
    },
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states it's a read operation ('Get'), implying non-destructive behavior, but doesn't mention authentication requirements, rate limits, error conditions, or what 'details' include. For a user lookup tool with zero annotation coverage, this leaves significant behavioral gaps.

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 zero wasted words. It's front-loaded with the core purpose and appropriately sized for a simple lookup tool. Every word earns its place.

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?

For a user retrieval tool with no annotations and no output schema, the description is incomplete. It doesn't explain what 'details' include, what format they're returned in, or potential error cases. While the schema covers inputs well, the overall context lacks sufficient information for confident tool invocation.

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%, so the schema already fully documents both parameters (studio with default and enum values, email as required). The description adds no parameter-specific information beyond what's in the schema - it mentions 'by email' which is already covered. Baseline 3 is appropriate when schema does all the work.

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 verb ('Get') and resource ('details for a specific user'), specifying retrieval by email. It distinguishes from siblings like user_list (list all users) and user_create/update/delete (write operations), though it doesn't explicitly name these alternatives. The purpose is specific but lacks explicit sibling differentiation.

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 when to choose user_get over user_list for a single user, or when to use memory_get_user for user-related memory retrieval. There are no prerequisites, exclusions, or contextual usage hints provided.

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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