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Apple Suggest Reminder Lists

apple_suggest_reminder_lists
Read-onlyIdempotent

Suggests matching reminder lists from Apple Reminders data. Use a query to filter and a limit to cap the number of suggested lists.

Instructions

Apple Suggest Reminder Lists using the current Apple data surfaces. This is a completion fallback for clients without MCP completion support.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNo
countYes
domainYes
suggestionsYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.4

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, establishing the safety profile. The description adds only the fallback context and 'current Apple data surfaces' phrase, without detailing matching behavior, result ordering, or how the suggestion list is produced. It does not contradict the annotations and adds some context beyond them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences long, front-loads the core operation, and contains no filler. The first sentence repeats the tool title, but the second sentence earns its place by clarifying the fallback use case.

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

Completeness3/5

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

With read-only and idempotent annotations, an output schema, and no required parameters, the tool is relatively simple to invoke safely. However, the description leaves the semantics of query and limit unclear and does not explain what 'current Apple data surfaces' means, making the definition adequate but incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description mentions neither 'limit' nor 'query'. The parameter names are conventional enough for light inference, but the description adds no meaning beyond the schema and fails to compensate for the complete absence of parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific operation — suggesting reminder lists — and adds the clarifying context that it is a completion fallback for clients without MCP completion support. This separates it from list-style tools like reminders_list_lists, though 'using the current Apple data surfaces' is somewhat vague.

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 explicitly frames when to use the tool: as a completion fallback for clients without MCP completion support. It does not name specific sibling alternatives or exclusions, but the fallback framing gives a clear usage cue that is not present in the schema or annotations.

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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