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List automations

list_automations
Read-only

Use this when the user asks what Winquill does on its own for their team: the workspace's automations, each with its rules as sentences, whether it's on and what it last did, and the ones Winquill suggests. Needs a Winquill account and workspace. Not for making one (use add_automation) or what one did (use get_automation_history).

Input Schema

NameRequiredDescriptionDefault
workspaceNoThe Winquill workspace to use, by name, when the user is in more than one, e.g. "Northbridge Services".

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

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, destructiveHint=false, and openWorldHint=false, so the safety profile is clear. The description adds valuable context beyond annotations: it requires a Winquill account and workspace, and it describes the nature of the returned data (rules as sentences, on/off state, last activity, suggested automations).

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?

The description is three sentences: usage trigger first, then prerequisites, then exclusions. Each sentence earns its place with no filler, and the most important selection guidance is front-loaded.

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?

Given the tool's read-only nature, full parameter schema coverage, annotations, and an output schema, the description covers all an agent needs: when to use it, what it returns at a high level, prerequisites, and what it is not for with explicit alternatives.

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% for the single workspace parameter, so the schema already documents its meaning and usage. The description mentions workspace scoping but adds no syntax or format details beyond what the schema provides, so the baseline of 3 is appropriate.

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?

The description states a specific verb (list) and resource (automations), and enumerates what is returned: rules as sentences, on/off state, last activity, and suggested automations. It also distinguishes from siblings explicitly by naming add_automation and get_automation_history.

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?

It provides an explicit when-to-use trigger (user asks what Winquill does on its own for their team) and explicit when-not-to-use conditions with named alternatives (not for making one, not for history). Alternatives are routed without ambiguity.

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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