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dkreme514

customer-mcp

by dkreme514

get_customer_record

Retrieve a customer record by submitting a customer ID in CUST-XXXXX format. Get the complete customer details directly from the ID for quick reference.

Instructions

Return a customer record for an ID formatted exactly as CUST-XXXXX.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden. It states the core behavior ('Return a customer record') but does not disclose error handling, not-found behavior, authentication needs, or whether the operation is strictly read-only. The read intent is implied but not explicit.

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?

A single, front-loaded sentence with no filler. Every word contributes to the tool's purpose and input requirement.

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 one-parameter get operation, the description covers the action and input format. However, with no output schema and no annotations, it leaves the return structure and error behavior unspecified, so an agent has incomplete information about what to expect.

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 0%, so the description must compensate. It adds a human-readable format ('CUST-XXXXX') that reinforces the schema's pattern, but it does not explain the semantic meaning of customer_id beyond what the tool name and schema title already imply.

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 a specific verb ('Return') and resource ('customer record') and clearly scopes it to an ID with a strict format. This makes the tool's purpose unambiguous and easily distinguished from the sibling trigger_refund.

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 given about when to use this tool versus trigger_refund or any other alternative. The description only implies that it is for retrieving a customer record by ID, but does not state contexts, 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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