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Turn off an automation

turn_off_automation
Idempotent

Use this when the user wants one of the workspace's automations to stop. It stops running and keeps its rules and history, so it can be turned on again. Needs a Winquill account; owners, admins and bid leads turn them off.

Input Schema

NameRequiredDescriptionDefault
workspaceNoThe Winquill workspace to use, by name, when the user is in more than one, e.g. "Northbridge Services".
automationYesThe automation, by its name or id, as list_automations gives it.

Output Schema

NameRequiredDescriptionDefault
linkNo
historyNo
libraryNo
summaryYes
wouldHaveNoWhat it would have done over the last 30 days.
automationNo
automationsNo
suggestionsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / workspace / description
      Previous value: -"The Tenda workspace to use, by name, when the user is in more than one, e.g. \"Northbridge Services\"."New value: +"The Winquill workspace to use, by name, when the user is in more than one, e.g. \"Northbridge Services\"."
  2. Added

TDQS

A4.4/5.0
Behavior5/5

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

Goes well beyond the annotations by disclosing what survives the call ('keeps its rules and history, so it can be turned on again') and the authorization profile ('Needs a Winquill account; owners, admins and bid leads turn them off'). The annotations only say non-destructive and idempotent; the description supplies reversibility and role requirements an agent needs before invoking.

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?

Three short sentences, each carrying distinct information: trigger, effect/reversibility, authorization. The usage condition is front-loaded and there is no filler.

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

Completeness4/5

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

For a two-parameter mutation tool with an output schema, the definition covers intent, effect, reversibility and permissions, which is essentially everything an agent needs. Only the already-off / idempotent edge case is left implicit (covered by annotations).

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 description coverage is 100% and both parameters (workspace, automation) are fully documented in the schema, including the reference to list_automations for obtaining the identifier. The description adds only the loose phrase 'workspace's automations' and nothing about the name-vs-id or multi-workspace behavior, so baseline 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 and resource ('one of the workspace's automations to stop'), which unambiguously separates it from siblings like turn_on_automation, add_automation and list_automations. An agent can pick the correct tool without opening any schema.

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

Usage Guidelines4/5

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

The opening sentence gives a clear trigger condition tied to user intent ('when the user wants ... to stop'). It implies the contrast with turn_on_automation without naming it, and gives no explicit exclusion for edge cases such as an automation that is already off.

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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