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codex_ask

Pose questions or ideas to GPT Codex for critical analysis that identifies risks and challenges assumptions. Supports planning, debugging, and research.

Instructions

Ask GPT Codex a question or brainstorm an idea. Codex acts as a critical thinking partner — it will challenge assumptions and surface risks.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesThe question or topic to discuss with Codex
contextNoAdditional context (file contents, prior decisions, etc.)
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?

No annotations are provided, so the description bears full burden. It mentions that Codex 'will challenge assumptions and surface risks' but does not disclose side effects (e.g., session modification), safety, or authentication needs. This is insufficient for a tool with no annotations.

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 sentences, front-loaded with the purpose. Every sentence adds value, with no redundancy or fluff.

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?

With 8 parameters, no output schema, and no annotations, the description could provide more context (e.g., what the response contains, how to use optional params). The schema covers parameter details, but the tool's overall usage remains somewhat opaque.

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 100%, so the baseline is 3. The description adds no additional meaning beyond the schema; it does not explain parameter usage or dependencies.

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 verb ('Ask', 'brainstorm') and the resource ('GPT Codex'). It distinguishes from sibling tools like codex_debug, codex_plan, etc., by focusing on general questioning and critical thinking.

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 provides context (critical thinking partner, challenges assumptions) but does not explicitly say when to use this tool versus alternatives like codex_research or codex_plan. Usage is implied rather than explicit.

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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