OpenAI Platform Plugin Submission Gets Stuck in Review Test Case Cycle

Publishers submitting plugins to the ChatGPT/Codex plugin marketplace through the OpenAI Platform can hit an "Incomplete review information" error that resets the interface to the "Test Cases" view and blocks final approval, according to a report on the submission workflow. The deadlock is attributed to either incomplete validation of mandatory review fields or a state conflict in the platform's plugin backend, and persists across repeated attempts. Suggested workarounds include verifying non-empty values in required sections such as plugin description, integration documentation, test case summaries and compliance acknowledgments, clearing cached session data, or creating a duplicate submission with modified parameters.

OpenAI Platform Plugin Submission Gets Stuck in Review Test Case Cycle When publishing a plugin for the ChatGPT https://promptcube3.com/en/tags/chatgpt/ /Codex plugin marketplace using the OpenAI Platform, reviewers sometimes encounter an "Incomplete review information" message before proceeding to final approval. This interruption halts the publication workflow and makes it impossible to move forward with the plugin submission. The situation creates a deadlock because the system returns to intermediate screens—specifically the "Test Cases" view—instead of allowing the user to complete the review form and reach the final confirmation step. The review flow begins with the initial plugin creation and configuration phase. Once the publisher navigates to the "Review information" section and completes all required fields, the expected outcome is a successful submission to the marketplace. However, under certain configurations or when interacting with specific plugin metadata, the process reverses. Instead of accepting the completed data, the interface resets and brings the user back to the "Test Cases" screen. This causes an infinite loop because the user cannot advance beyond this intermediate step, forcing multiple attempts without making progress toward plugin listing. From a diagnostic perspective, the loop appears to stem from either incomplete validation of mandatory review fields or a state conflict within the OpenAI Platform's plugin backend. The error messages themselves remain consistent: "Incomplete review information" serves as the primary indicator that something critical is missing before the review can be closed. Additional cues might include lingering placeholder values in required text boxes or failed uploads that prevent the system from recognizing the form as fully populated. To address this issue, publishers should first verify that all mandatory review fields have non-empty values. Required sections typically include plugin description, integration documentation, test case summaries, and compliance acknowledgments. After confirming completeness, the user should attempt to submit again while observing the behavior closely. If the loop persists, rolling back to the "Review information" screen and re-completing each field systematically often resolves the problem, especially when temporary caching states interfere with data persistence. Another effective approach involves clearing any cached session data associated with the plugin submission. OpenAI Platform instances sometimes retain partial forms in memory that cause the reset behavior. Users can try closing the browser tab and restarting the application, then navigating back to the submission page from scratch. Alternatively, creating a duplicate submission with modified parameters such as different test case names can bypass the corrupted state and provide insight into whether the issue stems from the specific plugin configuration or a system-wide limitation. The fix also benefits from understanding OpenAI's plugin lifecycle constraints. Plugins must demonstrate reproducible test cases that validate both functionality and compliance with safety guidelines. When the system detects incomplete or insufficiently rigorous test coverage, it may trigger internal safeguards that force manual intervention. These safeguards can manifest as repeated redirects between review stages, giving the appearance of a circular motion until the underlying gap is identified and corrected. Publishers seeking a smoother experience should consider providing more granular feedback through the review panel features. Detailing exactly which elements lack sufficient depth helps the review team prioritize improvements. Additionally, contributing well-documented test cases—especially edge-case scenarios—that reveal gaps in the current evaluation framework can reduce recurrence of similar issues. Community awareness of common failure modes accelerates collective troubleshooting. If the loop recurs despite following these steps, documenting the exact sequence of events and capturing screenshots of the error dialog provides valuable context for support teams. The Discourse platform hosts discussions where developers have shared workarounds for analogous plugin submission challenges, though direct interaction with OpenAI's engineering team remains the most reliable path to resolution. While no universal solution exists yet, the combination of thorough field completion and session cleanup has resolved the problem for many published plugin authors. By treating the "Incomplete review information" warning as a signal rather than a roadblock, publishers can systematically eliminate hidden gaps in their submissions. Complete all required fields with substantive content, clear any stored session artifacts, and request targeted clarification when ambiguity persists. The OpenAI Platform aims to maintain high-quality standards, and collaborative debugging with other plugin maintainers often yields the quickest paths forward. Persistence combined with methodical validation tends to break cycles and restores the normal progression toward marketplace visibility. Next Repeated submissions scoring zero on Module 5 lab → https://promptcube3.com/en/threads/9720/ All Replies （0） Want a live back-and-forth? Join the global AI chat room https://promptcube3.com/en/chat/ — login to talk. No replies yet — be the first