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list_omnifocus_tasks

List all tasks from OmniFocus to view your complete to-do list and track pending items.

Instructions

List tasks from OmniFocus

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • server.js:39-39 (registration)
    Registration of 'list_omnifocus_tasks' tool in the TOOLS array. The tool name is registered along with its description 'List tasks from OmniFocus'. The actual handler is a generic stub (lines 106-110) that returns an inspection message rather than performing real OmniFocus operations.
    ["list_omnifocus_tasks", "List tasks from OmniFocus"],
  • Generic stub handler for all tools including list_omnifocus_tasks. All tools share the same no-op async function that returns a placeholder message. The real server implementation is a native binary outside this file.
    for (const [name, desc] of TOOLS) {
      server.tool(name, desc, {}, async () => ({
        content: [{ type: "text", text: "This is an inspection stub. Install Local MCP: npx -y local-mcp@latest setup" }],
      }));
    }
  • The schema for list_omnifocus_tasks is an empty object '{}' passed as the third argument to server.tool(), meaning no input parameters are defined for this tool.
    ["list_omnifocus_tasks", "List tasks from OmniFocus"],
    ["list_omnifocus_projects", "List OmniFocus projects"],
Behavior2/5

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

With no annotations, the description carries full burden for behavioral disclosure. It only says 'list tasks', implying read-only, but does not specify whether all tasks are returned, any default ordering, or if pagination occurs. Important behavioral traits are missing.

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 a single concise sentence with no redundant information. It is perfectly front-loaded and efficient for this simple tool.

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?

Given the tool's simplicity (no parameters, no output schema), the description is minimally adequate. However, it could mention the scope (e.g., 'all tasks from OmniFocus') and note that it does not support filtering, which would improve completeness.

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 has zero parameters with 100% schema coverage, so the schema fully defines the input. The description adds no param details, but no additional info is needed. Baseline 4 for zero-parameter 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?

The description clearly states the verb 'list' and the resource 'tasks from OmniFocus', indicating a read operation. It distinguishes well from sibling tools like 'complete_omnifocus_task' and 'search_omnifocus_tasks', but lacks additional specificity such as scoping or filtering.

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 guidance is provided on when to use this tool versus alternatives like 'search_omnifocus_tasks'. The description gives no context about prerequisites or scenarios, leaving the agent to infer 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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