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dbmcco

apple-reminders-mcp

by dbmcco

create_reminder

Add a new reminder to any Apple Reminders list with optional notes, due date, and priority.

Instructions

Create a new reminder in a specified list

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoOptional body/notes for the reminder
nameYesName of the reminder
dueDateNoOptional due date in format "MM/DD/YYYY HH:MM AM/PM"
listNameYesName of the list to add the reminder to
priorityNoPriority level (0=none, 1=high, 5=medium, 9=low)
Behavior2/5

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

With no annotations, the description must carry the burden of disclosing behavioral traits, but it only restates the action. It fails to mention side effects, idempotency, requirements such as list existence, or the return value, leaving the agent without critical behavioral context for a mutation operation.

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 a single, concise sentence that is front-loaded with the action and resource. It contains no unnecessary words or fluff, earning a perfect score for conciseness.

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

Completeness2/5

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

The tool has no annotations or output schema, and the description is minimal. While the schema covers parameter semantics, the description does not explain return values, prerequisites, or error behavior, leaving significant gaps for a create operation. This is insufficient for a complete understanding of how to use the tool effectively.

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?

The input schema provides complete descriptions for all five parameters, achieving 100% coverage. The description adds no additional parameter meaning beyond what the schema already offers, so the baseline score 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 clearly states the tool's function: creating a new reminder in a specified list. It distinguishes from sibling tools like update_reminder, delete_reminder, and search_reminders by focusing on creation, with the additional context of targeting a specific list.

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

Usage Guidelines3/5

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

The description implies usage for creating a new reminder, but provides no explicit guidance on when to choose this tool over alternatives. No exclusions or prerequisites are mentioned, leaving the agent to infer that it should be used for new reminders rather than updates or deletions.

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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