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List wake-word engines

voice_list_wake_word_engines
Read-onlyIdempotent

List installed wake-word detection engines as wake_word.* entities to find the entity ID needed for voice pipelines.

Instructions

List installed wake-word detection engines as their wake_word.* entities.

Filters ha.get_states() for entity IDs starting with wake_word..

Use when: discovering which wake-word entity ID to pass to voice_create_pipeline/voice_update_pipeline. Not for: STT or TTS engines — use voice_list_stt_engines/ voice_list_tts_engines. Returns: list of {"entity_id", "state", "attributes"} for each wake_word.* entity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.4.0

TDQS

A4.7/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint/idempotentHint/destructiveHint=false, so safety is covered. The description adds genuine behavioral context by disclosing the data source (a filtered ha.get_states scan over the wake_word domain), which explains why no parameters are needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded one-line purpose followed by labelled 'Use when / Not for / Returns' blocks; every sentence is short and functional, with no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A no-param read-only lister with annotations covering safety and an output schema covering shape. The description supplies routing, exclusions, and data source, leaving nothing an agent needs missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so the baseline is 4; the description correctly implies there is nothing to configure by noting the result is a fixed filter over states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('List installed wake-word detection engines') and pins the exact entity domain (`wake_word.*`), which cleanly separates it from the STT/TTS engine listers among its many siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit 'Use when' clause ties it to the downstream need (discovering an entity ID for voice_create_pipeline/voice_update_pipeline), and the 'Not for' clause names both alternative tools and the condition that selects them.

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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