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Get a customer

amberflo_get_customer
Read-only

Fetch a single customer by its Amberflo customerId. API: GET /customers/?customerId=.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
customer_idYesThe Amberflo customerId to fetch.

Schema Changelog

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

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the description's addition of 'Fetch' is consistent but does not add new behavioral context beyond noting the API endpoint (GET /customers/). No mention of errors, auth, or rate limits.

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 one sentence long, contains the essential information, and is front-loaded with the action and resource. No wasted words.

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 fetch tool with one parameter and annotations indicating read-only, the description is mostly complete. It lacks details about the response shape, but no output schema exists to compensate. Minor gap.

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 coverage is 100%; the description restates the parameter's role in natural language, aligning with the schema's own description. Adds no new semantics beyond what the schema already provides.

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 'Fetch a single customer by its Amberflo customerId', specifying the verb and resource clearly. It distinguishes from sibling tools that list customers or fetch related entities.

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

Usage Guidelines3/5

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

No explicit guidance on when to use this tool versus alternatives like `amberflo_list_customers` or `amberflo_get_customer_invoice`. The usage is implied: when you have a specific customer ID.

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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TDQS

A3.8/5.0
Disambiguation5/5

Each tool targets a distinct action and resource (e.g., create_customer vs list_customers, get_customer_plan vs list_customer_plan_history). No two tools overlap in purpose; descriptions clearly differentiate them.

Naming Consistency5/5

All tools follow the consistent pattern amberflo_verb_noun with snake_case. Verbs like create, get, list, assign, explain, ingest are used uniformly, and nouns consistently represent the resource (customer, usage, meters, etc.).

Tool Count5/5

14 tools is well-scoped for a billing/metering server, covering customer management, plan assignment, invoices, usage ingestion/querying, and meter discovery. Each tool serves a clear purpose without excess.

Completeness4/5

The tool set covers essential CRUD and lifecycle operations for customers, plans, invoices, and usage. Minor gaps exist (e.g., no update or delete customer, no unassign plan), but the core workflows are fully supported.