get_customer
Retrieve customer details by providing an email address or customer ID.
Instructions
Retrieve customer details by email or customer ID
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| No | Customer email address | ||
| customer_id | No | Customer ID |
Retrieve customer details by providing an email address or customer ID.
Retrieve customer details by email or customer ID
| Name | Required | Description | Default |
|---|---|---|---|
| No | Customer email address | ||
| customer_id | No | Customer ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It indicates a read operation but does not disclose auth requirements, rate limits, or return format. Basic adequacy with room for improvement.
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?
A single sentence that conveys the essential information without any unnecessary words. Highly efficient.
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 retrieval tool with no output schema, the description adequately covers purpose and identification methods. It could mention what details are returned, but it is not a major gap given the tool's simplicity.
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?
Schema description coverage is 100% as both parameters have descriptions. The description reiterates the schema info without adding new meaning beyond 'by email or customer ID'. Baseline 3 is appropriate.
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 uses a specific verb 'Retrieve' and identifies the resource 'customer details', clearly distinguishing from sibling tools like list_customers.
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 that either email or customer ID can be used, but provides no explicit guidance on when to use this tool versus alternatives like search or list tools.
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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