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ask_codex

Delegate to Codex, launching its A2A server when absent. Omit model unless requested.

Instructions

Delegate to Codex, launching its A2A server when absent. Omit model unless requested.

Input Schema

NameRequiredDescriptionDefault
modelNo
promptYes
workspaceNo
tool_policyNo
reasoning_effortNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.8.2
    • addedInput schema / properties / tool_policy
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Tool Policy"
      +}
    • addedInput schema / properties / workspace
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "title": "Workspace"
      +}
  2. First observedv0.5.0

TDQS

C2.7/5.0
Behavior2/5

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

With zero annotations, the description carries the full behavioral burden. It discloses one important trait, auto-launching the A2A server when absent, but says nothing about permissions, sync vs async execution, expected latency, or what a call returns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences, front-loaded with the action and followed by the server-launch caveat. Nothing is wasted, though the terseness crosses into under-specification.

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?

For a five-parameter tool with no annotations, no parameter docs, and no output schema, the description is far too thin. An agent lacks the information to populate four of the five parameters correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate and it largely does not. It addresses only 'model' ('omit unless requested') while leaving prompt, workspace, tool_policy, and reasoning_effort completely unexplained.

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?

States a specific verb and target ('Delegate to Codex') and distinguishes itself from the generic ask_agent by naming a concrete backend. However, it never explains what Codex is or what capability the delegation provides, so an agent must infer the payoff.

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?

The only guidance is 'Omit model unless requested,' which is a parameter hint, not a when-to-use rule. Nothing says when to pick this over ask_antigravity, ask_agent, or submit_task, and no prerequisites or exclusions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.