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OmniFocus MCP Server

by estrenuo

Get Planned Tasks

omnifocus_get_planned_tasks
Read-onlyIdempotent

Retrieve tasks with planned dates within a specified range, including overdue tasks. Filter by tags to focus on specific work items.

Instructions

Get tasks that are planned within a specified timeframe.

Planned dates represent when you intend to work on a task, separate from the due date.

Args:

  • daysAhead (number): Days to look ahead, 0-365 (default: 7)

  • includeOverdue (boolean): Include overdue planned tasks (default: true)

  • limit (number): Max tasks, 1-500 (default: 50)

  • tags (array, optional): Filter to tasks matching these tag names (max 20)

  • tagMatchMode (string): How to match tags - 'all', 'any', or 'none' (default 'all'). Only applied when tags is provided.

Returns: Array of planned tasks sorted by planned date

Examples:

  • Planned this week: {}

  • Planned today: { daysAhead: 0 }

  • Planned in 30 days: { daysAhead: 30 }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagsNoFilter to tasks matching these tag names (combined per tagMatchMode)
limitNoMaximum tasks to return
daysAheadNoNumber of days ahead to look (0 = today only)
tagMatchModeNoHow to match tags: 'all' = task has every listed tag, 'any' = at least one, 'none' = none of them. Only applied when tags is provided.all
includeOverdueNoInclude overdue planned tasks
Behavior5/5

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

Annotations indicate readOnlyHint=true, idempotentHint=true, destructiveHint=false, which are consistent. The description adds important behavior: returns array sorted by planned date, default parameter values, and tag matching logic. No contradictions.

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: purpose paragraph, parameter list, return type, and examples. Every sentence is informative and front-loaded with the core purpose. No unnecessary words.

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?

Given no output schema, the description covers the tool's purpose, parameters, and return type adequately. It could specify the structure of returned task objects, but the examples and sort order are sufficient for an agent to use correctly.

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?

Schema coverage is 100% with parameter descriptions. The description adds meaning beyond schema by explaining the concept of planned dates and providing examples. It does not repeat schema details but enriches understanding.

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 'Get tasks that are planned within a specified timeframe' with a specific verb and resource, and distinguishes from sibling tools like omnifocus_get_due_tasks by emphasizing the 'planned dates' concept separate from due dates.

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 explains when to use this tool (for planned tasks) but does not explicitly state when not to use it or name alternatives. However, the parameter descriptions and examples provide clear context for usage.

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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