list_customer_addresses
Use after verification to list saved addresses linked to the verified customer.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| session_token | Yes |
Use after verification to list saved addresses linked to the verified customer.
| Name | Required | Description | Default |
|---|---|---|---|
| session_token | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does not state that the operation is read-only, what happens on invalid session_token, or the return format. The only behavioral hint is the dependency on verification, which is insufficient.
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, front-loaded sentence that communicates the essential usage condition and purpose with no wasted words. It is concise and well-structured.
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?
The tool is simple (one parameter, no output schema), but the description omits return value details, error behavior, and the exact role of session_token. Given the lack of annotations and schema descriptions, this description leaves too much unsaid for reliable invocation.
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 has no descriptions for the single parameter session_token (0% coverage), and the description does not explain its purpose or origin. The context implies it might be related to verification, but the description does not explicitly connect session_token to the verification step.
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 action (list) and resource (saved addresses) with a specific scope (linked to the verified customer). It also includes a usage prerequisite (after verification), making the purpose unambiguous and distinct from the sibling tools.
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 explicitly says 'Use after verification', providing a clear temporal condition for when to use this tool. It does not, however, mention when not to use it or compare it to alternatives like get_customer_profile, so it falls short of full guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Some tools overlap in purpose, such as check_availability vs get_customer_availability and the various verification entry points. Descriptions clarify the context of each, but an agent could still misselect without careful reading.
All tools follow a consistent verb_noun pattern with snake_case, e.g., check_availability, create_booking_request, get_booking_status. This makes the naming predictable and easy to navigate.
With 20 tools, the server is on the heavier side but the scope is broad, covering booking, customer verification, payments, and provider matching. The count feels slightly high but each tool serves a distinct step in the workflow.
The tool surface covers the full booking lifecycle from availability and quote to payment and final creation. Notable gaps include lack of update or cancel booking operations, but the core flow is well covered.