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veto_handoff

Hand off your current AI session to another platform with step-by-step instructions; the new platform restores full context instantly.

Instructions

Saves the current session and returns step-by-step instructions to continue on another AI platform (Gemini or Codex). Call this when Claude is approaching its rate limit. The receiving platform calls veto_continue to restore full context instantly.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextYesKey context the next platform needs: active decisions, file paths, constraints.
summaryYesWhat was accomplished this session — one or two sentences.
task_stateNoCurrent task state — what is done, what is in progress, what is next.
project_dirNoAbsolute path to the current project directory.
to_platformNoTarget platform. If omitted, Veto picks the platform with the most headroom.
token_countNoApproximate tokens used this session.
from_platformNoPlatform handing off (default: claude).
Behavior3/5

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

Annotations are minimal (not read-only, not destructive), and the description adds basic behavioral context (saves session, returns instructions) but does not disclose details like session locking, side effects, or output format beyond instructions.

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?

Two sentences, no filler, front-loaded with the primary action. Every word earns its place.

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?

The description covers the tool's purpose and when to use it, but lacks details about the return value structure and how the session is persisted, which are important given no output schema.

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 parameters are well-documented there. The description adds no extra meaning beyond the schema, meeting the baseline but not exceeding it.

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 tool saves the current session and returns step-by-step instructions for handoff to another platform, distinguishing it from sibling tools like veto_session_save or veto_continue.

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 says 'Call this when Claude is approaching its rate limit' and mentions that the receiving platform calls veto_continue, providing clear context for when and how to use the tool.

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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