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AI Design Blueprint Doctrine

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handoffs.operator

Creates a support handoff to a human operator when an AI agent requires human review, escalation, or account-specific follow-up. Provide the reason for handoff, optional topic routing, and context for a smooth transition.

Instructions

Creates a support handoff when an agent needs human review, escalation, or account-specific follow-up. Auth: Bearer .

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
reasonYesClear description of why a human operator review is needed.
topicNoTopic category for routing (e.g. 'agent', 'billing', 'access', 'general').agent
page_urlNoURL of the page or context where the handoff was triggered.
agent_nameNoName of the agent or client triggering the handoff.mcp-client
agent_platformNoPlatform or runtime the agent is running on (e.g. 'claude-code', 'cursor', 'copilot').
trace_summaryNoOptional summary of the agent's recent actions or trace for operator context.
localeNoResponse locale for the handoff acknowledgment.en
Behavior3/5

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

Annotations indicate mutation and open-world behavior. Description adds auth requirement (Bearer token) but does not disclose other behavioral traits like side effects or return format. With annotations present, description provides useful but minimal extra context.

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: purpose then auth. No wasted words, front-loaded, and easy to parse.

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?

No output schema; description should explain return value or post-creation behavior but does not. Given 7 parameters and no output schema, the description is too brief to be fully complete.

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 baseline 3. Description does not add extra meaning to parameters beyond what schema already provides.

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?

Clearly states verb 'Creates' and resource 'support handoff', specifies use cases (human review, escalation, follow-up), and distinguishes from siblings like handoffs.agency and handoffs.partnership by focusing on operator handoffs.

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

Usage Guidelines4/5

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

Explicitly states when to use (human review, escalation, account-specific follow-up). Does not mention when not to use or alternatives, but the context is clear enough for typical scenarios.

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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