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rnd-pro
by rnd-pro

consult_peer

Get peer review on technical proposals and architectural decisions. Receive a structured verdict (AGREE, SUGGEST_CHANGES, or DISAGREE) to guide consensus.

Instructions

Antigravity-backed peer consultation for architectural/technical consensus. For Codex orchestration, prefer delegate_task_readonly with resource_group: "review". Use during PLANNING phase to validate proposals before implementation. Supports iterative rounds: send proposal, get feedback, revise, resend until AGREE. The peer responds with a structured verdict: AGREE, SUGGEST_CHANGES, or DISAGREE.

Returns a task_id immediately (non-blocking). Use get_task_result to check the verdict. The peer runs without a timeout — it will work until done. Progress is visible via get_task_result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cwdNoWorking directory for file access. Defaults to current working directory.
modelNoModel to use. Default: Auto.
contextYesProject context: what are we working on, constraints, requirements.
proposalYesYour technical proposal or architectural decision to review.
previous_roundsNoSummary of previous discussion rounds (if iterating toward consensus).
Behavior5/5

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

No annotations exist, so description carries full burden. It discloses non-blocking behavior, returns task_id, supports iterative rounds, no timeout, and progress via get_task_result. The verdict types (AGREE, SUGGEST_CHANGES, DISAGREE) are specified.

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?

Every sentence adds unique information. Front-loaded with purpose, then usage, then behavioral details. No wasted words; efficient and structured.

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

Completeness5/5

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

Despite no output schema, description covers return values (task_id and verdict) and explains how to retrieve results (get_task_result). Also mentions progress visibility, making it complete for this tool.

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

Parameters4/5

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

Schema coverage is 100%, but description adds context beyond definitions: explains 'context' as project context, 'proposal' as technical proposal, and introduces 'previous_rounds' for iterative use. Adds value without redundancy.

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 defines the tool as 'Antigravity-backed peer consultation for architectural/technical consensus' and specifies its use in the PLANNING phase for validating proposals. It distinguishes itself from siblings by contrasting with 'delegate_task_readonly'.

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

Usage Guidelines5/5

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

Explicitly states when to use (PLANNING phase) and provides a clear alternative: 'prefer delegate_task_readonly with resource_group: "review"' for Codex orchestration. This gives direct guidance on tool selection.

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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