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sweetrb

apple-mail-mcp

by sweetrb

enable-rule

Enable an existing Apple Mail rule by specifying its name. Get a confirmation that the rule is switched on.

Instructions

Use when: turning on an existing Mail rule by name. Returns: a confirmation that the rule was enabled. Do not use when: turning a rule off (use disable-rule), creating one (use create-rule), or deleting one (use delete-rule). Use list-rules to confirm the exact rule name.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNo
nameNo
enabledNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv2.10.24
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • changedOutput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed1 schema field changedv2.10.8
    • changedOutput schema / additionalProperties
      Previous value: -falseNew value: +true
  3. Addedv2.9.0
  4. Removedv2.8.10
  5. First observedv2.6.1

TDQS

A4.7/5.0
Behavior4/5

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

Since no annotations are provided, the description must carry the transparency burden. It discloses that the tool turns on an existing rule and returns a confirmation. It stops short of covering idempotency (e.g., enabling an already-enabled rule) or error scenarios, but for this simple operation, the core behavior and outcome are clear.

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 compact, using a clear 'Use when' / 'Do not use when' structure. Every sentence earns its place: purpose, return value, exclusions, and a useful hint about list-rules.

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 tool with a single simple parameter and an output schema, the description fully covers what the tool does, when to use it, what it returns, and how to verify the parameter. Sibling references further complete the contextual picture.

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 schema has 0% description coverage, so the description must compensate. It explains that the 'name' parameter is the rule's exact name through 'turning on an existing Mail rule by name' and 'confirm the exact rule name.' This adds meaningful semantic detail beyond the raw schema.

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 clearly states the tool's function: 'turning on an existing Mail rule by name.' This uses a specific verb (turning on) and resource (existing Mail rule), and distinguishes it from sibling tools like disable-rule, create-rule, and delete-rule.

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?

Provides explicit 'Use when' and 'Do not use when' guidance, naming alternatives for opposite or related operations. Also advises using list-rules to verify the exact rule name, which is actionable context for correct invocation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.