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mdr_review

Add inline review comments to markdown files, anchoring them to specific text for precise feedback on specs and design docs.

Instructions

Review markdown files in md-redline (mdr) and leave inline feedback. Returns IMMEDIATELY after posting (never blocks). The returned sessionId MUST be passed to mdr_wait afterward to block until the user clicks Done — this is a two-tool flow: mdr_review (post) → mdr_wait (block). Skipping mdr_wait leaves a banner on the user's screen until they click Done; you will not see their replies or edits before continuing, and any user feedback will be invisible to you for this turn.

Use this when the user asks you to review a doc and drop comments. The comments appear as inline markers anchored to specific text, which the user can then address.

Comments are anchored to exact text in the rendered document (not the raw markdown). For text inside Mermaid diagrams or markdown-formatted spans, the renderer will fall back to label/stripped matching.

Include author on each comment/reply identifying yourself (e.g. 'Claude', 'Codex', 'Gemini'). This appears in the mdr UI so the user knows which agent left the feedback.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repliesNo
commentsNo
filePathsYesAbsolute paths to markdown files to review.
enableResolveNo
Behavior5/5

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

With no annotations, description fully discloses behavior: returns immediately (never blocks), requires subsequent mdr_wait, warns about leaving a banner and invisible feedback, explains comment anchoring and fallback for Mermaid diagrams, and instructs to include author.

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?

First sentence states purpose. The description is logically structured in paragraphs covering purpose, flow, and comments. Could be slightly more concise, but holds necessary detail.

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?

Given the complexity of the two-tool flow, no output schema, and low schema coverage, the description thoroughly covers when and how to use, the blocking mechanism, and important behavioral details like anchor matching and author requirement.

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 description coverage is 25% (low). Description adds context for main parameters (filePaths, comments, replies, author) but does not systematically detail each property. The workflow explanation compensates somewhat, but parameter semantics remain partially inferred.

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?

Clearly states 'Review markdown files in md-redline (mdr) and leave inline feedback.' Distinguishes from sibling tools mdr_ask, mdr_request_review, mdr_wait by explaining its role in the two-tool flow.

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?

Explicitly says 'Use this when the user asks you to review a doc and drop comments.' Describes the necessary two-tool flow with mdr_wait and warns about skipping it. Does not explicitly exclude other uses but provides clear context.

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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