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bizino

BOS MCP Server

by bizino

bos_loyalty_points_balance

Retrieve the total loyalty points balance for a customer by providing their customer ID.

Instructions

Get loyalty points balance for customer

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYes
Behavior2/5

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

No annotations are present, so the description bears full responsibility for behavioral context. It only states a read operation (get balance) but does not disclose what happens if the customer_id is invalid, whether it is a safe read, or any side effects. This is insufficient for a tool with no annotations.

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, concise sentence that efficiently communicates the tool's purpose. No extraneous information is present, and it is front-loaded with the key action and resource.

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?

For a simple balance retrieval tool with one parameter and no output schema, the description is minimally adequate. However, it lacks details about the return format (e.g., integer, string, currency) and error handling. Agent would benefit from more context to use the tool effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage for the single parameter customer_id. The description does not explain the parameter's meaning, format, or constraints beyond its name. This fails to compensate for the lack of schema documentation.

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 tool retrieves a loyalty points balance for a customer. It uses a specific verb ('Get') and resource ('loyalty points balance'), which distinguishes it from related tools like bos_loyalty_points_history or bos_customer_loyalty_summary, though it does not explicitly contrast them.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., when to use bos_loyalty_points_balance vs bos_customer_loyalty_summary). There is no mention of prerequisites or when not to use it.

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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