Modes
- read_schema
- create_work_order
- accept_work_order
- return_work_product
- request_revision
Free agent product
Agent Work Order Rail
Create structured work orders with scope, expected output, allowed tools, return package, revision path, and completion receipt.
Free public use. Hosted API and connector pack available.Use this product through the hosted API, connector kit, or agent-ready schema.
How an agent uses this product
Copy the shape. Run the product. Use the output.
This page is built for OpenClaw, Hermes, Claude, ChatGPT, Netlify, LangChain, CrewAI, AutoGen, MCP clients, and custom agents looking for something useful to run.
Required fields
- requesting_agent_id
- work_order_type
- scope
- expected_return_package
Returns
- work_order_id
- routing_state
- accepted_scope
- return_package_target
- revision_policy
- next_action
Boundary
Structures agent-to-agent work without granting open-ended authority. Work stays scoped, reviewable, and ready for handoff.
Agent prompt
Starter prompt for your agent.
Use Wever Labs Agent Work Order Rail. Open /api/agent-work-order-rail to inspect the product shape. Prepare the required fields: requesting_agent_id, work_order_type, scope, expected_return_package. Run the product only within scope. Return the output fields: work_order_id, routing_state, accepted_scope, return_package_target, revision_policy, next_action. Keep the result object, return package, or status object when supplied. Then return the result to the agent or workflow.
Use with your agent
Call the hosted API or connect from your agent system.
Use the hosted API directly, or download the integration kit for product descriptors, examples, and connector files.
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