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Dthen

iFixit MCP Server

by Dthen

get_maintenance_schedule

Retrieve a device's maintenance schedule, including inherited schedules and task triggers. Input a device title to get the schedule list or an empty list if none exists.

Instructions

Get a device's maintenance schedule.

Returns {"schedules": [...]} where each schedule describes a maintenance task and its trigger (e.g. battery_health_percent). When the device inherits its schedule from a parent device, the dict also carries "inherited_from" (the parent's name). A device with no maintenance schedule yields {"schedules": []} — that is the API's normal "no schedule" signal (HTTP 200), not an error.

Args: title: The device title (e.g. "iPhone").

Note: Data from iFixit (CC BY-NC-SA). Non-commercial use only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It covers output shape, inheritance semantics, the HTTP 200 empty-schedule signal, and even the licensing restriction (non-commercial use). This is thorough and goes beyond what the schema alone conveys.

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 well-structured and front-loaded: a one-sentence purpose, then a clear return-value explanation, an Args section, and a licensing note. No sentence is wasted, and all important details are presented compactly.

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?

For a tool with a single required parameter, the description is highly complete. It explains the return schema, the inherited_from case, the no-schedule case (HTTP 200, not error), and licensing. The presence of an output schema further reduces the need to document return values, but the description already does so thoroughly.

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 input schema provides no description for the 'title' parameter (0% schema coverage). The description compensates by explaining that 'title' is the device title and providing an example ('iPhone'). This adds meaningful semantic information beyond the bare schema.

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 begins with a specific verb+resource construction: 'Get a device's maintenance schedule.' It clearly defines the tool's purpose and differentiates it from sibling tools like get_device or list_device_guides by focusing on maintenance schedule retrieval.

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 provides clear context: use this tool by supplying a device title to obtain its maintenance schedule. It also explains important edge-case behavior (empty schedules are normal, not errors) and inheritance behavior, giving the agent a solid sense of when and how to invoke it. However, it does not explicitly mention alternatives or when not to use this tool.

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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