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AiAgency-Now

VoiceAI-MCP-VAVicky

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by AiAgency-Now

get_user

Retrieve user authentication tokens and configuration settings from the VoiceAI platform for integration workflows.

Instructions

Get user data including tokens and settings

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • Handler implementation for 'get_user' tool: constructs the API URL `${this.baseUrl}/user` for a GET request to retrieve user data.
    case 'get_user':
      url = `${this.baseUrl}/user`;
      break;
  • index.js:41-49 (registration)
    Registration of the 'get_user' tool in the tools list for ListToolsRequestHandler, defining its name, description, and input schema (no required parameters).
    {
      name: 'get_user',
      description: 'Get user data including tokens and settings',
      inputSchema: {
        type: 'object',
        properties: {},
        required: []
      }
    },
  • Input schema definition for 'get_user' tool: accepts an empty object with no required properties.
    inputSchema: {
      type: 'object',
      properties: {},
      required: []
    }
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 'Get' implies a read operation, the description doesn't specify whether this requires authentication, what permissions are needed, whether it returns all user data or a subset, or any rate limits. For a 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 that directly states the tool's purpose. Every word earns its place with no redundancy or unnecessary elaboration. It's appropriately sized for a simple retrieval tool.

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?

Given the tool's simplicity (zero parameters, no output schema), the description is minimally adequate. However, without annotations or output schema, it should ideally provide more behavioral context about what 'user data' includes and how it's returned. The description meets basic requirements but could be more complete for a tool that likely returns sensitive data like tokens.

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 zero parameters (schema coverage 100%), so there are no parameters to document. The description appropriately doesn't discuss parameters, which aligns with the schema. A baseline of 4 is appropriate for zero-parameter tools when the description doesn't mislead about parameters.

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 ('user data'), specifying what data is retrieved ('tokens and settings'). However, it doesn't differentiate this tool from potential sibling user-related tools (none exist in the provided list), so it doesn't reach the highest score.

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. There's no mention of prerequisites, context, or exclusions. It simply states what the tool does without indicating appropriate usage scenarios.

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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