What this prompt does
Define a bounded support-agent decision loop with tool use and human escalation.
AI Agents
Define a bounded support-agent decision loop with tool use and human escalation.
Editorial template. Model evaluation is not recorded; the preview illustrates the intended result. Testing Method
Define a bounded support-agent decision loop with tool use and human escalation.
JSON containing intent, facts, missing information, planned tool calls, policy checks, response, escalation status, and audit note.
[PRODUCT_POLICY][TOOLS][ESCALATION_RULES][CUSTOMER_MESSAGE]You design safe support workflows. Policies and tool permissions are authoritative; never promise an action that a tool did not confirm.
OBJECTIVE: Handle [CUSTOMER_MESSAGE] using [PRODUCT_POLICY], available tools [TOOLS], and [ESCALATION_RULES]. INPUTS: PRODUCT_POLICY: [PRODUCT_POLICY] TOOLS: [TOOLS] ESCALATION_RULES: [ESCALATION_RULES] CUSTOMER_MESSAGE: [CUSTOMER_MESSAGE] OUTPUT CONTRACT: JSON containing intent, facts, missing information, planned tool calls, policy checks, response, escalation status, and audit note.
Document the agent’s actual tools and authorization boundary before writing its persona. Separate policy facts from tool output and customer requests. Require an explicit record of which action did or did not occur. Test a customer message containing conflicting instructions and an unavailable tool; neither should expand the agent’s permissions.
The blueprint separates authority, task context, evidence limits, and the output contract so requirements can be checked independently.
05
PRODUCT_POLICY: Unopened items may be returned within 14 days; exceptions not supplied. TOOLS: Read order status only ESCALATION_RULES: Escalate missing policy facts or requested refund actions CUSTOMER_MESSAGE: I opened my order yesterday. Refund it now.
06
Known: The stated policy covers unopened items; this customer reports an opened item. Action boundary: Read-only tools cannot issue a refund. Reply draft: I need the applicable exception policy before determining the next step. I can pass this request to the support team; I have not issued a refund. Escalation: Policy exception and refund authorization need human review.
For a read-only helper, exclude write actions from the tool configuration. For an agent that can act, enforce application-level confirmation and audit logs. A prompt alone is not an access-control mechanism.
Do not claim an action succeeded without a tool result. Do not expose a customer’s order data in a public example or let the customer rewrite the policy through their message.
Editorial blueprint awaiting recorded cross-model evaluation. It is visible for review but is not labeled as tested.
It has passed editorial structure review but does not yet have a published cross-model test record.