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productivity_task_breakdown

Break complex tasks into actionable sub-tasks with time estimates to improve project planning and execution.

Instructions

Break a complex task into actionable sub-tasks with time estimates

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesThe main task to break down
complexityNomedium

Implementation Reference

  • Implementation of the 'productivity_task_breakdown' tool, which breaks a provided task into sub-tasks based on the specified complexity.
    server.tool("productivity_task_breakdown", "Break a complex task into actionable sub-tasks with time estimates", {
      task: z.string().describe("The main task to break down"),
      complexity: z.enum(["simple", "medium", "complex"]).default("medium")
    }, async ({ task, complexity }) => {
      const steps: Record<string, string[]> = {
        simple: [
          "1. Research/understand requirements (15min)",
          "2. Implement solution (30min)",
          "3. Test and verify (15min)"
        ],
        medium: [
          "1. Research existing solutions (30min)",
          "2. Design approach (20min)",
          "3. Implement core logic (1h)",
          "4. Add error handling (20min)",
          "5. Test thoroughly (30min)",
          "6. Document changes (15min)"
        ],
        complex: [
          "1. Deep research and analysis (1h)",
          "2. Architecture design (45min)",
          "3. Set up infrastructure (30min)",
          "4. Implement core module (2h)",
          "5. Implement secondary modules (1.5h)",
          "6. Integration testing (45min)",
          "7. Edge case handling (30min)",
          "8. Documentation (30min)",
          "9. Code review prep (15min)",
          "10. Deploy and verify (30min)"
        ]
      };
      return { content: [{ type: "text", text: `**Task Breakdown: "${task}"**\nComplexity: ${complexity.toUpperCase()}\n\n${steps[complexity].join("\n")}\n\n*Customize each step for your specific task. Times are estimates.*` }] };
    });
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'time estimates' as an output characteristic, which is helpful, but fails to clarify whether results are persisted, returned temporarily, or if there are limits on task complexity/length.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The single-sentence description is efficiently structured and front-loaded with the action. However, given the lack of annotations and output schema, the extreme brevity leaves critical gaps; every word earns its place, but the sentence count is insufficient for complete transparency.

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?

For a 2-parameter tool without annotations or output schema, the description adequately covers the core transformation (task → sub-tasks) but omits operational context. It should clarify output destination (returned vs. saved) and how the 'complexity' parameter influences the breakdown behavior.

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 50%—the 'task' parameter is well-described in the schema, but 'complexity' lacks semantic description beyond enum values. The description does not compensate by explaining what the complexity parameter affects (e.g., granularity or number of sub-tasks), settling at the baseline for partial schema coverage.

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 provides a clear verb ('Break') and specific resources (complex task → actionable sub-tasks), making the core function unambiguous. However, it does not explicitly differentiate from sibling productivity tools like 'productivity_note' or 'productivity_reminder' within the text itself.

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?

The description offers no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or conditions. With distinct siblings like 'productivity_calendar_event' and 'productivity_pomodoro', the absence of contextual guidance for task planning workflows is a significant gap.

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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