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Enable a disabled automation

automations_enable_automation
Idempotent

Enable a disabled automation by calling the automation.turn_on service with its entity_id. Use when an automation is off and needs to be turned back on, not to trigger actions.

Instructions

Enable a disabled automation.

Calls the automation.turn_on service with entity_id.

Not for: running the automation's actions immediately — use automations_trigger_automation. Returns: list[dict], the raw automation.turn_on service-call response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entity_idYesFull automation entity ID to enable, e.g. 'automation.morning_routine'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.25.1
    • addedInput schema / properties / entity_id / description
      Added value: +"Full automation entity ID to enable, e.g. 'automation.morning_routine'."
  2. First observedv0.3.0

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare non-read-only, non-destructive, and idempotent behavior. The description adds the underlying `automation.turn_on` service call and the raw response shape, which clarifies the mutation mechanics. It does not cover auth needs or further side effects, so it stops short of a 5.

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?

Four short, front-loaded lines cover purpose, mechanism, exclusion, and return. The return line is slightly redundant because an output schema exists, but the overall structure remains efficient and easy to scan.

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 single-parameter enable tool with rich annotations and an output schema, the description supplies purpose, alternative routing, and mechanism. An agent has everything needed to invoke it correctly.

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% and the single `entity_id` parameter is already documented with an example. The description only restates 'with entity_id' and adds no new parameter meaning, 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 ('Enable') and resource ('disabled automation'), and explicitly names the sibling automations_trigger_automation as the not-for case. An agent can distinguish it from related tools without opening schemas.

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?

Explicitly says when not to use it ('running the automation's actions immediately') and names the alternative (automations_trigger_automation). The intended enable use case is clear from the first line.

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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