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rbutera

harness-bridge

by rbutera

Codex Code Review

codex_review_code

Get specific, actionable code review feedback by providing a git diff range, file paths, or code snippet to Codex.

Instructions

Ask Codex to review code. Provide a git diff range, file paths, or a code snippet. Returns specific, actionable feedback.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYesWhat to review: git diff range (e.g., "HEAD~3..HEAD"), file paths, or code snippet
contextNoAdditional context about the codebase or changes
threadIdNoContinue a previous Codex conversation: pass the threadId returned by an earlier call. Omit to start a fresh thread.
focusAreasNoFocus on: bugs, performance, style, security, etc.
workingDirectoryNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changedv1.0.0
    • addedInput schema / properties / threadId
      Added value: +{
      +  "description": "Continue a previous Codex conversation: pass the threadId returned by an earlier call. Omit to start a fresh thread.",
      +  "type": "string"
      +}
    • removedInput schema / properties / threadKey
      Removed value: -{
      -  "description": "Optional key enabling multi-turn continuity. Calls sharing a key use the same harness conversation and are serialized. Omit it for independent one-shot calls, including parallel reviews.",
      -  "type": "string"
      -}
  2. First observedv0.4.0

TDQS

A3.8/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It states that the tool invokes Codex and 'Returns specific, actionable feedback', which covers the primary behavior and output. However, it does not mention side effects, whether the tool modifies files, prerequisites like a git repository, or external-service considerations, leaving some behavioral ambiguity.

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 tight sentences with the core purpose front-loaded and input options compressed efficiently. Every phrase earns its place and there is no fluff or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations and no output schema, the description plus schema covers the target formats, optional context, focus areas, thread continuation, and the return type at a high level. The main gap is the undocumented workingDirectory parameter, though its meaning is reasonably inferable from its name.

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 high at 80%, so the schema already documents most parameters. The description mostly restates the target options already present in the schema and adds no meaningful detail about workingDirectory or other optional parameters.

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 states a specific verb and resource: 'Ask Codex to review code', and clarifies what can be reviewed (git diff range, file paths, snippet) and what is returned (specific, actionable feedback). It is clear from 'review' how this differs from siblings like codex_explain_code, though it does not explicitly name them.

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 communicates the context clearly: use this tool when you want Codex to review code, and it tells the agent what to supply ('Provide a git diff range, file paths, or a code snippet.'). It does not explicitly mention alternatives or when-not-to-use, so it stops 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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