alexa_curated_ttsTrigger a randomized spoken phrase on an Alexa device from curated categories like greetings or compliments. Specify the device and category to deliver an appropriate verbal response.
Make Alexa speak a randomized built-in phrase from a curated category.
| Name | Required | Description | Default |
|---|---|---|---|
| category | Yes | Curated speech category | |
| serialNumber | Yes | Serial number of the Echo device (use alexa_list_devices to find it) |
Changes observed during successful MCP inspections.
v1.2.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of behavioral disclosure. It states the randomization behavior ('randomized built-in phrase'), which is a key trait. It does not mention other aspects like asynchronous execution, volume, or error handling, but for a simple speech action this is a moderate level of 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?
The description is a single, front-loaded sentence with no waste. It states the action and the key qualifier ('randomized built-in phrase') immediately, making it easy to parse.
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 two-parameter action with no output schema, the description covers the core behavior (randomized curated phrase) and the schema covers parameter details. It lacks explicit alternatives guidance, but the tool is simple enough that an agent can infer its use from the description and siblings. Overall, it is nearly complete for the given complexity.
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 input schema provides 100% coverage with descriptions for both parameters. The category enum values are self-explanatory, and serialNumber's description directs the user to alexa_list_devices. The description adds no additional parameter semantics beyond the schema, so the baseline score of 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 clearly states the verb 'speak' and the resource 'a randomized built-in phrase from a curated category', which distinguishes it from siblings like alexa_speak (arbitrary text) and alexa_speak_ssml (SSML). The category enum further scopes it to specific use cases.
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 does not explicitly state when to use this tool over alternatives, nor does it mention exclusions. However, the phrase 'curated category' implies it is for predefined phrases, and the schema's serialNumber hint to use alexa_list_devices gives indirect guidance. This is adequate but not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.