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codex_review

Send code to GPT Codex for critical review that identifies bugs, security issues, performance problems, and design flaws.

Instructions

Send code to GPT Codex for critical review. Codex will look for bugs, security issues, performance problems, and design flaws.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesThe code to review
descriptionNoWhat the code does and what to focus on
include_diffNoAuto-include git diff from working directory
evidence_modeNoRequire evidence (repro steps, confidence, fix sketch) for each finding. Default: true
working_dirNoProject working directory for Codex file access and implicit session key
timeoutNoTimeout in milliseconds (default: 120000, max: 600000)
session_idNoOptional session key to isolate conversation history across concurrent clients
modelNoOptional Codex model override for this request
retriesNoRetry count for transient Codex errors (default from env or 1, max: 10)
retry_backoff_msNoBase retry backoff in milliseconds (default from env or 500, max: 60000)
Behavior2/5

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

With no annotations provided, the description carries the full burden. It mentions external invocation to Codex but does not disclose side effects, rate limits, data handling, or whether the tool modifies anything. Basic behavioral context is missing.

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 concise sentences that efficiently convey the core purpose and scope. No extraneous text; every sentence earns its place.

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

Completeness3/5

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

The tool has 10 parameters and no output schema. The description does not explain the return format or structure of the review, leaving the agent to infer. While the input schema is well-documented, the output behavior is unclear.

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?

All 10 parameters have descriptions in the input schema, achieving 100% coverage. The tool description adds marginal value beyond the schema, only providing a brief context for the review purpose. Baseline score of 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 action 'Send code for critical review' and lists specific issue types (bugs, security, performance, design flaws), distinguishing it from sibling tools like codex_ask and codex_debug.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for code review but does not explicitly state when not to use it or compare to alternatives. The context is clear but lacks exclusion guidance.

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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