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dbmcco

apple-reminders-mcp

by dbmcco

search_reminders

Find Apple Reminders by searching their names or body content. Locate specific tasks quickly without scrolling through lists.

Instructions

Search for reminders by name or body content

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
searchTermYesTerm to search for in reminder names and bodies
Behavior3/5

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

With no annotations, the description must carry the burden of behavioral disclosure. It states that both names and body content are searched, which is useful, but it does not mention return format, pagination, case sensitivity, or any other behavioral traits. This is a minimal disclosure.

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 scope. Every word contributes meaning, and there is no redundancy or 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 simple tool with one parameter and no output schema or annotations, the description is fairly complete. It states what the tool does and what field it searches, but lacks any information about return values or potential limitations, making it slightly incomplete.

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 has 100% description coverage, with searchTerm described as 'Term to search for in reminder names and bodies'. The description adds no new semantics beyond what the schema already provides, so baseline 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 uses a specific verb 'search' with a clear resource 'reminders' and specifies the scope 'by name or body content'. It effectively distinguishes this tool from sibling tools like get_reminders, which likely lists all reminders without a search critical.

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 description implies usage: when you have a term to find in reminder names or bodies. It doesn't explicitly mention alternatives like get_reminders, but the context is clear enough for an agent to infer when to use this tool versus listing all reminders.

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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