How returning Markdown from docs shapes agentic coding

If you want Cursor, Claude Code, and Codex to behave the same way across a repo, have your docs answer them in Markdown fields instead of prose. Returning markdown from docs means the documentation layer replies with the same four labeled parts every time: scope, constraints, verification, owner. That one habit gives every agent run the same shape, so a reviewer reads the same four things whether the change came from Cursor (Anysphere's AI code editor), Claude Code (Anthropic's coding agent), or Codex CLI (OpenAI's coding agent).

The reason this matters is small and annoying. Most teams keep policy in three files, one per tool, and an agent only ever loads one at a time. So the merge you get depends on which file happened to be in context, not on what the team actually decided.

See why three files quietly disagree

Splitting the control plane by tool feels right at first. You put .mdc rules where Cursor reads them, CLAUDE.md where Claude Code reads it, and AGENTS.md where Codex CLI reads it. Done.

It holds until precedence gets fuzzy. Each tool then follows its own local reading of what is in scope, what counts as proof, and when an exception is allowed. Nobody wrote three different policies on purpose. The three files just mirror how the team is split, and the agent inherits those gaps.

The fix is not more prose. It is asking each agent to return the same fields on every task, so the policy arrives in a shape all three can read.

Make the docs return four fields, every run

Pick four fields and make them non-optional: scope, constraints, verification, owner. Scope is the paths the change may touch. Constraints are the paths and domains it may not. Verification is the exact command a reviewer can rerun from the diff. Owner is the person who signs off on anything outside the lines.

Each tool gets there a little differently, but lands in the same place.

For Cursor, declare boundaries before the session starts. Cursor's rules system is strongest when a .mdc file names allowed paths, forbidden paths, and the verification command. Keep MCP domains explicit, and put the verification command in the rule itself, not in a side comment in chat.

For Claude Code, state which instruction wins on conflict. The docs and hooks model gets noisy when precedence is implicit, so let CLAUDE.md name the override order, the folders that require human review, and where temporary exceptions get recorded.

For Codex CLI, make the output replayable without your terminal. The quickstart supports a flow where task output carries intent, command transcript, and a diff summary, which makes a run auditable rather than just green.

Here is a small shared snapshot you can drop in as a starting .mdc:

---
description: Delegation boundary snapshot
alwaysApply: false
---

- Cursor: keep scopes explicit in `.mdc`; forbid undeclared MCP domains.
- Claude Code: cite `CLAUDE.md` precedence before expanding shell scope.
- Codex: require replay-friendly verification notes in `AGENTS.md` before merge.

Roll it out without forming a committee

You do not need a working group for this. Four steps, each with a question a reviewer can actually answer.

A formatted return is not a safety guarantee. It does not stand in for threat modeling, customer approvals, or blast-radius calls. If the repo cannot name owners for its MCP domains, a human still gates the change even when the output is tidy. The practice itself lives on the AI coding governance topic page, and you can build the muscle with your team in our training.

A good way to test whether this is paying off: run a week of freeform agent summaries against a week of fielded markdown returns, then count which merges needed a follow-up question. The fielded week should ask less of the reviewer.

Common questions

• What does returning markdown from docs mean for agentic coding?

  It means the docs layer answers an agent with structured Markdown fields, scope, constraints, verification, and owner, instead of freeform prose. Every run then emits the same reviewable shape. Cursor, Claude Code, and Codex inherit one contract rather than three local interpretations, so a reviewer reads the same four things no matter which tool produced the diff.

• Why do agents need structured returns instead of prose answers?

  Prose changes shape from run to run, and a reviewer cannot scan what keeps changing. Fielded markdown gives every task the same checkable surface: what was in scope, what was forbidden, which command proves the change, who owns exceptions. The review question shrinks to one thing, whether the fields match the diff in front of you.

• Does this replace human review for risky changes?

  No. The pattern does not replace threat modeling, customer approvals, or blast-radius decisions. If the repo cannot name owners for its MCP domains, a human still gates the change even when the agent output arrives in clean fields. Sensitive work keeps its approval path. Returned markdown speeds up review, it does not remove the gate.

• Which file should I start with?

  Start with one .mdc rule for Cursor that carries allowed paths, forbidden paths, and the verification command in the rule itself. It is the smallest artifact that proves the idea, and you can copy its scope and verification fields straight into CLAUDE.md and AGENTS.md once it works.

Try it on one repo

Pick a single repo, add the four fields to one tool's policy file, and require the returned-markdown shape on the next handful of tasks. Compare how many merges needed a follow-up question before and after, then roll the winning shape to the other two tools.