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sweetrb

apple-mail-mcp

by sweetrb

list-templates

Get a list of saved email templates with IDs, names, and subjects for selection or editing.

Instructions

Use when: discovering the saved email templates and their ids, e.g. before using or editing one. Returns: each template's id, name, and subject. Do not use when: you want a single template's full body (use get-template) or want to apply one (use use-template).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
templatesNo
Behavior4/5

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

With no annotations, the description carries the burden of behavioral disclosure. It discloses that the tool returns only id, name, and subject (not full body), and implies a read-only, non-mutating operation. It could add more context about potential errors or permission requirements, but for a simple list operation with zero parameters, the disclosure is reasonably complete.

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 extremely concise, using three short sentences that are front-loaded with the primary use case, followed by return details and exclusions. Every sentence earns its place with no filler or repetition.

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?

The tool is simple (0 parameters) and has an output schema, so the description need not explain return values in depth. It fully covers when to use, what it returns, and when not to use, making it contextually complete for an agent to select and invoke the tool correctly.

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 tool has zero parameters, so the baseline is 4. The description appropriately focuses on output and usage rather than parameter details, adding no unnecessary parameter-related text.

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 'lists' saved email templates and their ids, with a specific verb and resource. It further distinguishes itself from siblings by explicitly stating it returns 'each template's id, name, and subject' and contrasts with get-template and use-template.

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?

The description provides explicit 'Use when' and 'Do not use when' guidance, naming alternative tools (get-template, use-template) for different use cases. This makes it very clear when to select this tool versus its siblings.

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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