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AiAgency-Now

VoiceAI-MCP-VAVicky

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by AiAgency-Now

update_gemini_token

Update the Google Gemini API key to maintain access to AI features in the VoiceAI-MCP-VAVicky server.

Instructions

Update Google Gemini API Key

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gemini_tokenYesGoogle Gemini API Key

Implementation Reference

  • Executes the update_gemini_token tool by making a POST request to the backend API endpoint /gemini/oauth with the provided gemini_token in the request body.
    case 'update_gemini_token':
      url = `${this.baseUrl}/gemini/oauth`;
      method = 'POST';
      body = { gemini_token: args.gemini_token };
      break;
  • Defines the input schema for the update_gemini_token tool, requiring a 'gemini_token' string.
    {
      name: 'update_gemini_token',
      description: 'Update Google Gemini API Key',
      inputSchema: {
        type: 'object',
        properties: {
          gemini_token: { type: 'string', description: 'Google Gemini API Key' }
        },
        required: ['gemini_token']
      }
    },
  • index.js:112-122 (registration)
    Registers the update_gemini_token tool in the list of available tools returned by ListToolsRequestSchema.
    {
      name: 'update_gemini_token',
      description: 'Update Google Gemini API Key',
      inputSchema: {
        type: 'object',
        properties: {
          gemini_token: { type: 'string', description: 'Google Gemini API Key' }
        },
        required: ['gemini_token']
      }
    },
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. 'Update' implies a mutation operation, but it doesn't specify whether this requires special permissions, if it's reversible, what happens to existing configurations, or any rate limits. The description is minimal and lacks critical behavioral context for a credential-updating tool.

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 extremely concise at just four words, front-loading the essential information with zero wasted words. Every word earns its place, making it easy to parse quickly.

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 credential-updating tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the tool actually does (e.g., stores the token where, for what purpose), what happens after updating, or any error conditions. The context demands more completeness for a sensitive operation like API key management.

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%, with the single parameter 'gemini_token' clearly documented in the schema. The description doesn't add any parameter-specific information beyond what's in the schema, so it meets the baseline for high schema coverage 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 ('Update') and the resource ('Google Gemini API Key'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like update_deepseek_token or update_openai_token, which have identical descriptions except for the API provider name.

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 like update_openai_token or update_deepseek_token. It doesn't mention prerequisites (e.g., needing admin access), consequences of updating, or when this operation is appropriate versus initial setup.

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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