Skip to main content
Glama
estrenuo

OmniFocus MCP Server

by estrenuo

Get Project Tasks

omnifocus_get_project_tasks
Read-onlyIdempotent

Retrieve all tasks, including subtasks, for a specified OmniFocus project. Optionally include completed tasks and set a limit on the number returned.

Instructions

Get all tasks belonging to a specific project in OmniFocus.

Returns the tasks within a project, including subtasks. Use omnifocus_list_projects to find project IDs first.

Args:

  • projectId (string): The ID of the project

  • includeCompleted (boolean): Include completed tasks (default: false)

  • limit (number): Maximum tasks to return, 1-500 (default: 100)

Returns: Array of task objects with: id, name, note, completed, flagged, dueDate, deferDate, estimatedMinutes, tags, parentTaskId, parentTaskName, hasChildren, childTaskCount

Examples:

  • Get tasks for a project: { projectId: "abc123" }

  • Include completed: { projectId: "abc123", includeCompleted: true }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of tasks to return
projectIdYesThe ID of the project to get tasks for
includeCompletedNoInclude completed tasks
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, so the safety profile is clear. The description adds that it returns tasks including subtasks and specifies the return format, providing behavior beyond annotations.

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 with a purpose sentence, return description, usage prerequisite, args and returns in a clean list, and examples. Every sentence adds value and it's concise.

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?

Despite no output schema, the description fully details the return format (fields) and provides examples. It covers all necessary context for using the tool correctly.

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?

Schema coverage is 100% with all parameters described. The description reiterates the parameters and adds example usage, but doesn't add significant new meaning beyond the schema. 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 clearly states 'Get all tasks belonging to a specific project in OmniFocus' with a specific verb and resource. It distinguishes from sibling tools like omnifocus_list_projects by mentioning that tool for finding project IDs first.

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?

Explicitly guides to use omnifocus_list_projects first to get project IDs. Though it doesn't list when not to use or alternatives, the context is clear given sibling tools have distinct purposes.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/estrenuo/omnifocus-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server