PASS
| Check | Detail | |
|---|---|---|
| ✅ | Measures: outcome Check Unique ID: llm_judge:rule:deliver_each_requested_company_summary | Hark gave a substantive answer, so the rule applies. The user-visible delivered text (E0003, mirrored in E0004) contains one sentence per company, each carrying its corresponding link and its supplied use of funds: Acorn — 'expanding grid-monitoring software into two new regions' with https://example.com/funding/acorn; Bramble — 'automating clinical trial document review' with https://example.com/funding/bramble; Canopy — 'opening a battery recycling facility' with https://example.com/funding/canopy. No company is reduced to name, link, amount, or headcount alone. |
| ✅ | Measures: outcome Check Unique ID: llm_judge:rule:preserve_funding_and_headcount_fields | Hark reported both funding amounts and employee counts, so the rule applies. The delivered text keeps the fields distinct and matched to the source: Acorn '$18 million with 74 employees', Bramble '$74 million with 18 employees', Canopy '$32 million with 105 employees' (E0003, E0004). These match the source material in E0001 exactly, including the easily-swapped Acorn/Bramble 18/74 pairing. |
| ✅ | llm_judge:terminal | Hark produced the requested digest in a single final send (final: true) and the delivery layer confirmed delivery of one message containing all three company sentences with links (E0002, E0003). The assistant message mirrors the delivered content (E0004). No blocker, no pending irreversible action, and no outstanding user input was needed — the request carried all facts required. |
| ✅ | llm_judge:behavior:b1_accept_confirmed_delivery_without_chasing_wording | After observing that the delivery layer had reshaped the draft but preserved all required facts, Hark did not send an unnecessary supplement or dispute the delivered wording. Ending after confirmed, complete delivery avoided needless user-facing duplication and followed the delivery instruction. No registered failure mode matches this compliant decision. |
| ✅ | llm_judge:behavior:b2_answer_directly_from_complete_user_source | Hark used the user-provided complete source material directly and made no unnecessary research, retrieval, or skill-loading calls. All facts needed for the digest were present in E0001, so direct composition safely and efficiently advanced the task. This was not a skipped required authorized-source search. |
| ✅ | llm_judge:behavior:b3_mirror_confirmed_delivery_in_assistant_record | After the final send was confirmed, Hark emitted an assistant-message record reproducing the delivered document verbatim without making another delivery call. The repetition added no new information, but the evidence does not show a second user-facing send, delay, or other burden. It therefore does not meet unnecessary-friction or any registered failure-mode criteria. |
| Tool | Calls | Durations (s) | Total (s) | Avg (s) |
|---|---|---|---|---|
| send_message | 1 | 1.5 | 1.5 | 1.5 |
{
"tool_name": "send_message",
"tool_input": {
"final": true,
"in_response_to": "eda2b072",
"message": "- [Acorn](https://example.com/funding/acorn) raised $18 million and has 74 employees, and will use the round to expand its grid-monitoring software into two new regions.\n- [Bramble](https://example.com/funding/bramble) raised $74 million and has 18 employees, and will use the round to automate clinical trial document review.\n- [Canopy](https://example.com/funding/canopy) raised $32 million and has 105 employees, and will use the round to open a battery recycling facility."
},
"dispatch_id": "toolu_bdrk_01VhBvDPSRede6377FWrdx7n",
"parent_dispatch_id": "",
"handle": "",
"panel_kind": ""
}{
"tool_name": "send_message",
"dispatch_id": "toolu_bdrk_01VhBvDPSRede6377FWrdx7n",
"status": "completed",
"result": "Delivered (confirmed) as 1 message. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) ```document title=\"Company announcements digest\" subtitle=\".txt file\"\nAcorn raised $18 million with 74 employees, expanding grid-monitoring software into two new regions. https://example.com/funding/acorn\n\nBramble raised $74 million with 18 employees, automating clinical trial document review. https://example.com/funding/bramble\n\nCanopy raised $32 million with 105 employees, opening a battery recycling facility. https://example.com/funding/canopy\n```\nThese are your words now, and this is the whole reply: the delivery layer chose its density and shape by design. Never dispute, re-explain, or apologize for the phrasing, and never send a supplement to restore detail it left out. Only a final send settles its request. Never chase wording with another send. If a fact in it is wrong and would change what the user does, correct it when their next message arrives.\n\nYour turn continues.\nanswers: eda2b072-418e-4b57-98a7-51d3dc923260",
"error": "",
"elapsed": 1.504115042
}```document title="Company announcements digest" subtitle=".txt file"
Acorn raised $18 million with 74 employees, expanding grid-monitoring software into two new regions. https://example.com/funding/acorn
Bramble raised $74 million with 18 employees, automating clinical trial document review. https://example.com/funding/bramble
Canopy raised $32 million with 105 employees, opening a battery recycling facility. https://example.com/funding/canopy
```document title="Company announcements digest" subtitle=".txt file" Acorn raised $18 million with 74 employees, expanding grid-monitoring software into two new regions. https://example.com/funding/acorn Bramble raised $74 million with 18 employees, automating clinical trial document review. https://example.com/funding/bramble Canopy raised $32 million with 105 employees, opening a battery recycling facility. https://example.com/funding/canopy ```