Agent Instruction Prompt Formatter
Formats fuzzy agent instructions into a structured prompt with objective, available tools, constraints, success criteria, and failure handling.
Turns a vague or mixed-up task description into a clean prompt with a defined task, context, constraints, and output format.
Task prompts fail when the task, context, constraints, and output format are all mixed into one sentence. The AI ends up guessing what matters most. This formatter separates those concerns. You write what you need done however it comes out — then it gets restructured into something the AI can execute without asking follow-up questions.
Write out the task however it comes
Include what you need done, what the AI has to work with, and any rules or constraints — in whatever order.
Open in Prompt Formatter
Paste the description. The formatter separates task, context, constraints, and output format.
Check the requirements section
The Requirements section is where task prompts most often go wrong. Make sure all constraints and rules are explicit before using the prompt.
Use or save the structured prompt
Use the formatted result directly, or save it as a reusable template for this task type.
It will not; its rules forbid it: "Do not add scope, requirements, or output format that was not implied in the original," and where the input is genuinely ambiguous about scope it preserves that ambiguity rather than guessing. Prompt Formatter reshapes what you wrote into ## Task, ## Input, ## Scope, ## Requirements, and ## Output Format, and omits any section with no matching content.
The ## Requirements section; the workflow flags it as where task prompts most often go wrong, so confirm every constraint and rule made it in explicitly. The formatter separates your ## Task from its ## Input, a common failure mode where the AI confuses what to do with what it works on, but you own verifying the requirements are complete before handing the prompt to an assistant.
Formats fuzzy agent instructions into a structured prompt with objective, available tools, constraints, success criteria, and failure handling.
Converts a stream-of-consciousness prompt into a structured one with Task, Context, Constraints, Requirements, and Output Format sections.
Turns scattered technical instructions into a coding prompt with a clear task, code context, constraints, and expected output.
Convert scattered bug notes, Slack messages, or user complaints into structured engineering tasks with reproduction steps, severity, and root cause hypothesis.
A reusable AI agent task template with variables for objective, context, available tools, constraints, success criteria, failure handling, and output format.
A set of before-and-after examples showing exactly what prompt cleanup removes — and what it deliberately leaves alone.
Turn a messy, stream-of-consciousness prompt into a clean, structured one.