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Resume an OpenAI Codex session by providing a thread ID and next prompt, with automatic stall detection and recovery.

Instructions

Continue a Codex conversation by providing the thread id and prompt

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
levelNoExecution level (optional, for log naming): L1=Executor, L2=Builder, L3=Autonomous, L4=Specialist
promptYesThe next user prompt to continue the conversation
threadIdYesThe thread id for this Codex session
maxRecoveryAttemptsNoMax auto-recovery attempts when stalled (default: 2)
stallTimeoutMinutesNoMinutes of inactivity before detecting stall (default: 5)
Behavior2/5

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

With no annotations, the description carries full responsibility for behavioral disclosure. It only mentions continuing a conversation but does not describe any execution behavior, return format, error conditions, or side effects. This is a significant gap for a tool that likely invokes a long-running process.

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 a single, front-loaded sentence with no wasted words. It states the action and required inputs efficiently, making it easy to parse.

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

Completeness2/5

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

Despite having no output schema and 5 parameters, the description is very thin. It doesn't mention what happens after continuing the conversation (e.g., execution, return of results, async behavior), nor does it provide context for when to use this tool. The agent is left with only the bare action and input names, which is insufficient for a tool of this complexity.

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 5 parameters have schema descriptions (100% coverage), so the description adds minimal value beyond the schema. It does mention 'thread id' and 'prompt', reinforcing the essential inputs, but it doesn't explain nuanced behaviors like the optional level or recovery settings beyond what the schema already provides.

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 clearly states the tool continues a Codex conversation with a specific verb ('Continue'), resource ('Codex conversation'), and required inputs (thread id and prompt). It is distinct from the sibling 'run' though not explicitly differentiated, so it misses the top score for lacking explicit sibling contrast.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus the sibling 'run' or any other alternative. It simply states what it does without explaining context or prerequisites, leaving the agent without decision support.

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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