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delimit_agent_handoff

Transfer an agent task to a different AI model when execution is blocked or cross-model review is needed. Writes a handoff record and updates the task assignee.

Instructions

Hand off an agent task to a different AI model.

When to use: when an executor is blocked or when cross-model review is required and the next model needs the task's context. When NOT to use: to close out the task (delimit_agent_complete) or create a new one (delimit_agent_dispatch).

Sibling contrast: delimit_agent_complete ends the task; this transfers it to another model.

Side effects: writes a handoff record via ai.agent_dispatch.handoff_task; updates assignee on the task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYesExisting task id from delimit_agent_dispatch. Required.
to_modelYesTarget model — "claude", "codex", "gemini", etc. Required.
contextNoNotes for the next model.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses side effects: 'writes a handoff record' and 'updates assignee on the task.' This is good but does not cover potential error states or idempotency. Nonetheless, it is transparent about key behaviors.

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 well-structured with a one-sentence summary, followed by clear bullet-like sections for when to use, when not to use, sibling contrast, and side effects. Every sentence adds value with no redundancy.

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?

Given the presence of an output schema (which explains return values) and the detailed description covering purpose, usage, and side effects, the description is complete for this tool's complexity. No gaps are apparent.

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 does not add significant extra meaning beyond what the schema already provides for each parameter (task_id, to_model, context).

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's action ('Hand off an agent task to a different AI model') and distinguishes it from siblings in the 'Sibling contrast' section, specifically contrasting with delimit_agent_complete.

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?

Explicit 'When to use' and 'When NOT to use' conditions are provided, naming specific alternatives (delimit_agent_complete, delimit_agent_dispatch) and contexts (blocked executor, cross-model review). This gives unambiguous guidance.

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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