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Update an Assist pipeline

voice_update_pipeline
Destructive

Updates an existing Home Assistant Assist pipeline by changing only the fields you pass, preserving current values for omitted fields.

Instructions

Update an existing Assist pipeline's fields via WS assist_pipeline/pipeline/update.

HA's WS API requires the full set of fields on every update call, so this first fetches the current pipeline with WS assist_pipeline/pipeline/get and fills in any parameter left as None from that current state before sending the update — only the parameters you actually pass are changed; the previous value of any field you omit is lost from this call's perspective and replaced by whatever assist_pipeline/pipeline/get returned for it.

Use when: changing one or more fields of an existing pipeline. Not for: creating a new pipeline — use voice_create_pipeline. Returns: the updated pipeline dict, as returned by HA.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoNew display name. Omit to keep the current name.
languageNoNew overall pipeline language code. Omit to keep the current one.
tts_voiceNoNew TTS voice ID. Omit to keep the current one.
stt_engineNoNew STT engine entity ID. Omit to keep the current one.
tts_engineNoNew TTS engine entity ID. Omit to keep the current one.
pipeline_idYesID of the pipeline to update, from `voice_list_pipelines`.
stt_languageNoNew STT language code. Omit to keep the current one.
tts_languageNoNew TTS language code. Omit to keep the current one.
wake_word_idNoNew wake word model ID. Omit to keep the current one.
wake_word_entityNoNew wake-word detector entity ID. Omit to keep the current one.
conversation_engineNoNew conversation agent entity ID. Omit to keep the current one.
conversation_languageNoNew conversation language code. Omit to keep the current one.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed12 schema fields changedv0.25.1
    • addedInput schema / properties / conversation_engine / description
      Added value: +"New conversation agent entity ID. Omit to keep the current one."
    • addedInput schema / properties / conversation_language / description
      Added value: +"New conversation language code. Omit to keep the current one."
    • addedInput schema / properties / language / description
      Added value: +"New overall pipeline language code. Omit to keep the current one."
    • addedInput schema / properties / name / description
      Added value: +"New display name. Omit to keep the current name."
    • addedInput schema / properties / pipeline_id / description
      Added value: +"ID of the pipeline to update, from `voice_list_pipelines`."
    • addedInput schema / properties / stt_engine / description
      Added value: +"New STT engine entity ID. Omit to keep the current one."
    • addedInput schema / properties / stt_language / description
      Added value: +"New STT language code. Omit to keep the current one."
    • addedInput schema / properties / tts_engine / description
      Added value: +"New TTS engine entity ID. Omit to keep the current one."
    • addedInput schema / properties / tts_language / description
      Added value: +"New TTS language code. Omit to keep the current one."
    • addedInput schema / properties / tts_voice / description
      Added value: +"New TTS voice ID. Omit to keep the current one."
    • addedInput schema / properties / wake_word_entity / description
      Added value: +"New wake-word detector entity ID. Omit to keep the current one."
    • addedInput schema / properties / wake_word_id / description
      Added value: +"New wake word model ID. Omit to keep the current one."
  2. Addedv0.4.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and idempotentHint=false. The description adds substantial non-obvious context: HA's WS API requires the full field set, so the tool first fetches the current pipeline and fills omitted parameters from it, meaning only passed parameters are changed. It also states the return value, but does not mention auth needs or other side effects.

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

Conciseness4/5

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

Front-loads the action, then explains the non-obvious fetch/update mechanism, then gives use/not-for and return information. The middle sentence about omitted fields is slightly convoluted and could be tighter, but no sentence is wasted.

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?

For a 12-parameter mutation with full annotations and an output schema, the description covers purpose, selection criteria, the unusual WS full-set behavior, and the alternative tool. Nothing needed for correct invocation is missing; return values are covered by the output schema even though the description also mentions them.

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

Parameters3/5

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

Schema coverage is 100%, so the schema already documents every optional parameter with 'Omit to keep the current one.' The description reinforces the omission behavior and explains the fetch mechanism, but adds no per-parameter syntax or meaning beyond what the schema provides, so the baseline of 3 applies.

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 ('Update') and resource ('Assist pipeline'), and explicitly differentiates from the sibling create tool: 'Not for: creating a new pipeline — use voice_create_pipeline.' The WS endpoint name confirms the exact operation being performed.

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: changing one or more fields of an existing pipeline' and 'Not for: creating a new pipeline — use voice_create_pipeline.' This provides condition, exclusion, and the exact alternative in two sentences.

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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