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Glama

list_reminder_lists

Retrieve all Apple Reminders lists with their IDs, titles, and item counts to manage tasks and organize reminders.

Instructions

List Apple Reminders lists (id, title, item count).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the burden, and it partially does so by naming the enumerated fields (id, title, item count). However, it discloses nothing about read-only semantics being guaranteed, ordering, or whether lists are paged/limited, so an agent gets only the bare minimum behavioral picture.

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?

A single short sentence, front-loaded with verb and resource, followed by the return fields. No filler and nothing to trim.

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?

An output schema exists, so the description is not obliged to explain return values, and for a zero-parameter read-only listing tool this is near-sufficient information. The only shortfall is the missing routing hint against sibling list tools.

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 takes zero parameters, and the schema is empty with full coverage, so there is nothing for the description to disambiguate. Baseline 4 applies for a parameterless tool.

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?

States a specific verb and resource ('List Apple Reminders lists') and even names the fields returned, so the agent knows this enumerates reminder lists rather than the reminders themselves. It does not explicitly contrast with the nearby sibling list_reminders, leaving the distinction to be inferred from the noun.

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

Usage Guidelines2/5

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

No when-to-use guidance, no prerequisites, and no acknowledgement of alternatives such as list_reminders or list_notes. Usage is only implied by the verb 'List' and the resource name.

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