get_customer
Retrieve a customer's full record by its unique ID, providing all stored customer data for use in any operational workflow.
Instructions
Fetch a single Customer by primary key (id).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Retrieve a customer's full record by its unique ID, providing all stored customer data for use in any operational workflow.
Fetch a single Customer by primary key (id).
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It does not disclose behavior such as what happens when the ID is not found (e.g., null vs error), authentication requirements, or return format. The description only restates the basic fetch operation without adding behavioral context beyond what the name and schema imply.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that is front-loaded with the verb and resource. Every word contributes, with no redundant details or filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple single-record fetch with one parameter, the description adequately explains what the tool does. The lack of output schema and annotations is mitigated by the simple nature of the tool, though it could benefit from noting not-found behavior or return structure.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 0%, but the description compensates by clarifying that 'id' is the primary key. This adds meaningful semantic context to the otherwise bare string parameter, though it does not detail format or constraints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Fetch', the resource 'Customer', and the method 'by primary key (id)'. This distinguishes it from sibling tools like search_customer and aggregate_customer.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when you have a specific customer ID and need a single record, but it does not explicitly state when to use this over alternatives like search_customer. No exclusions or comparison to siblings are provided.
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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