alexa_list_listsFetch all Alexa lists, including shopping, to-do, and custom lists, so you can view and manage them through an MCP assistant.
Get all Alexa lists (shopping lists, to-do lists, custom lists).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v1.2.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, and the description does not disclose whether the operation is read-only or affects state. For a data retrieval tool, this is a minor gap but still limits transparency.
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, concise sentence that directly conveys the tool's purpose with no extraneous information. Well-structured and front-loaded.
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?
While the description is clear, it omits details about the return format (e.g., list names vs. full objects) and potential limits. For a simple list tool, this may be acceptable, but it could be more complete.
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?
With zero parameters, the description adds value by explaining the output (list types). Schema coverage is 100% but empty, so the description meaningfully compensates.
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 tool retrieves all Alexa lists, specifying types (shopping, to-do, custom). This distinguishes it from sibling tools like alexa_list_devices or alexa_get_list_items.
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?
No guidance is provided on when to use this tool versus alternatives (e.g., alexa_get_list_items for items). The description lacks context on prerequisites or typical use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.