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VautlixDevelopment

Vaultix MCP Server

vaultix_get_customer

Retrieve customer details by ID from the Vaultix Payment API to manage payment information and transactions.

Instructions

Retrieve a customer by ID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesCustomer ID (cus_...)

Implementation Reference

  • Handler for 'vaultix_get_customer' tool: retrieves customer by ID using VaultixClient GET request to /customers/{id}.
    case 'vaultix_get_customer':
      return client.get(`/customers/${args.id}`)
  • Tool definition including name, description, and input schema (requires 'id' parameter). Used for registration and input validation.
    {
      name: 'vaultix_get_customer',
      description: 'Retrieve a customer by ID',
      inputSchema: {
        type: 'object',
        properties: {
          id: { type: 'string', description: 'Customer ID (cus_...)' },
        },
        required: ['id'],
      },
    },
  • Registration of the 'vaultix_get_customer' tool in the exported 'tools' array for MCP.
    {
      name: 'vaultix_get_customer',
      description: 'Retrieve a customer by ID',
      inputSchema: {
        type: 'object',
        properties: {
          id: { type: 'string', description: 'Customer ID (cus_...)' },
        },
        required: ['id'],
      },
    },
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the basic action. It doesn't disclose behavioral traits such as authentication requirements, rate limits, error handling, or what happens if the ID doesn't exist. This is inadequate for a read operation with zero annotation coverage.

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 action and 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.

Completeness2/5

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

For a retrieval tool with no annotations and no output schema, the description is incomplete. It doesn't explain what data is returned, error conditions, or how it fits within the broader API context, leaving significant gaps for an agent.

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%, so the schema already fully documents the 'id' parameter. The description adds no additional meaning beyond what's in the schema (e.g., format hints or examples), meeting the baseline for high coverage.

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 ('Retrieve') and resource ('a customer by ID'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'vaultix_list_customers' or 'vaultix_get_charge', which would require a 5.

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 'vaultix_list_customers' for multiple customers or 'vaultix_get_transaction' for different resources. It lacks any context about prerequisites or exclusions.

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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