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prepare_task_for_execution

Generates a structured analysis request for Claude Code to analyze the codebase, using Read, Grep, and Glob, with instructions to call save_task_analysis afterwards.

Instructions

Prepares a task for execution by generating a structured analysis request. Returns a prompt that guides Claude Code to analyze the codebase using its tools (Read, Grep, Glob). ⚠️ IMPORTANT: The response includes workflowInstructions field - follow it to know exactly what to do next. After analysis, call save_task_analysis with the results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskIdYesTask ID to prepare for execution
Behavior4/5

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

Since no annotations are provided, the description carries the full burden of transparency. It discloses that the response contains a workflowInstructions field and instructs the agent to follow it. It also names the specific tools (Read, Grep, Glob) that will be leveraged. It does not mention side effects or error behavior, but for a prepare-like tool, the disclosed workflow is substantive.

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 two sentences and a warning, front-loaded with the primary purpose. Every sentence adds value: it states the action, describes the output, and provides a clear next step. No filler or redundancy.

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 only one parameter and no output schema, the description covers all essential aspects: what it does, what it returns, how to interpret the result (workflowInstructions), and what action to take next (call save_task_analysis). The workflow guidance makes it complete for the agent's decision-making.

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?

The input schema has 100% coverage—it already documents taskId with 'Task ID to prepare for execution.' The description adds minimal semantic detail beyond the schema, merely restating that it prepares a task. Per the baseline rule for high coverage, a 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 the tool's action: 'Prepares a task for execution by generating a structured analysis request.' It specifies the exact output (a prompt) and the underlying tools (Read, Grep, Glob) it will guide. This is a specific verb+resource and distinguishes it from siblings like get_execution_prompt (which likely executes a prompt) and save_task_analysis (which saves results).

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 gives strong usage context by outlining a workflow: prepare, analyze, then 'call save_task_analysis with the results.' It tells the agent what to do after this tool. However, it does not explicitly name alternatives or state when NOT to use this tool, so it falls just short of a 5.

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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