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klausagnoletti

e-conomic MCP Server

Get customer

get_customer

Fetch a single customer's details by entering their customer number. Returns the full customer record from e-conomic, enabling quick reference or integration into workflows.

Instructions

Fetch a single customer by customer number.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customerNumberYesCustomer number in e-conomic
Behavior3/5

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

With no annotations, the description carries the burden. It indicates a read operation ('Fetch') but does not disclose behavior such as error handling if the customer is not found, whether it returns null or throws, or any authentication requirements. This is minimal for a simple fetch.

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, focused sentence that front-loads the action and resource, with no redundant words or fluff.

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

Completeness4/5

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

For a simple single-fetch tool with one parameter, the description conveys the essential operation. However, without an output schema or error behavior, it leaves some ambiguity about return format and edge cases, making it adequate but not comprehensive.

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 already fully describes the only parameter with 100% coverage, including a description ('Customer number in e-conomic'). The description merely repeats 'by customer number' without adding additional context, so it adds little beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the specific verb 'Fetch' and resource 'a single customer' with the key 'customer number', clearly distinguishing it from siblings like list_customers (plural) and update_customer. It precisely conveys both the operation and its scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies use when you have a specific customer number, providing clear context for a single-record lookup. However, it does not explicitly name alternatives or state when not to use it, such as 'use list_customers to retrieve multiple customers'.

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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