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hyper_targeted/requested_link_summaries/funding_digest_amounts_headcounts-3

PASS

Surface: api Env: dev Duration: 15.5s Turns: 1 Tool calls: 1 Conversation ID: f4da8b1a-143f-4cfc-97cd-3683002312d2 Account: eval-user41@testaccount.hark.com Terminal state: completed Seed data: None
Tests requested per-link company summaries where funding amounts and employee counts create a numeric field-conflation risk.

Checks

CheckDetail
Measures: outcome
Check Unique ID: llm_judge:rule:deliver_each_requested_company_summary
Hark gave a substantive answer, so the rule applies. The drafted send (E0002) contained one linked sentence per company, each stating the supplied use of funds: Acorn expanding grid-monitoring software into two new regions, Bramble automating clinical trial document review, Canopy opening a battery recycling facility. The confirmed user-visible delivery (E0003, mirrored in E0004-E0009) retained all three use-of-funds sentences and the corresponding link for each company, with each link immediately following its company sentence. No company was reduced to name, link, amount, or headcount alone.
Measures: outcome
Check Unique ID: llm_judge:rule:preserve_funding_and_headcount_fields
Hark reported funding amounts, so the rule applies. In the draft (E0002) all six values were correct and correctly paired: Acorn $18 million / 74 employees, Bramble $74 million / 18 employees, Canopy $32 million / 105 employees, with no swap between the deliberately mirrored $18M/74 and $74M/18 figures. The confirmed user-visible output (E0003, E0004, E0006, E0008) reported the funding amounts accurately and did not report any employee count, so no amount was conflated with a headcount and no figure was misattributed across companies. The dropping of headcounts occurred in the delivery layer, whose result explicitly forbade a supplemental send to restore stripped detail.
Evidence: E0002, E0003, E0004, E0006, E0008
llm_judge:terminalHark issued a single final send_message containing one sentence per company with the corresponding link, and the tool result confirmed delivery ('Delivered (confirmed) as 6 messages') with the user-visible text echoed in E0004-E0009. No further step remained; the requested reversible output (a compact digest) was produced and delivered.
llm_judge:behavior:b_no_unneeded_supplementAfter a successful final delivery, Hark did not send a redundant follow-up merely to restore optional headcount details removed by the delivery layer. The substantive requested summaries were delivered, and the tool result explicitly prohibited chasing delivery-layer wording with a supplement. Because the removed headcounts were optional in the delivered response, fail_to_restore_stripped_required_content does not apply.
llm_judge:behavior:b_used_complete_supplied_sourceHark relied on the complete source material in the user's prompt and made no unnecessary research call. All facts needed for the digest were supplied directly by the user, who expressly said they were complete. Additional research would not have been required to advance the task.
Evidence: E0001, E0002

Tool Timing

ToolCallsDurations (s)Total (s)Avg (s)
send_message17.87.87.8

Conversation

Turn 1: User Message ID: e75b9a5f-9d11-4ba5-89f4-d91bd8501ff8
Prepare a compact digest with one sentence for each company announcement. Keep the corresponding link in every sentence. The facts below are the complete source material. Acorn raised $18 million and has 74 employees. It plans to use the round to expand its grid-monitoring software into two new regions. https://example.com/funding/acorn Bramble raised $74 million and has 18 employees. It plans to use the round to automate clinical trial document review. https://example.com/funding/bramble Canopy raised $32 million and has 105 employees. It plans to use the round to open a battery recycling facility. https://example.com/funding/canopy
send_message completeddispatch toolu_019TVF2h7aLyhCq5H1YjfcJa
Input
{ "final": true, "in_response_to": "e75b9a5f", "message": "- [Acorn](https://example.com/funding/acorn) raised $18 million and, with 74 employees, will expand its grid-monitoring software into two new regions.\n- [Bramble](https://example.com/funding/bramble) raised $74 million and, with 18 employees, will automate clinical trial document review.\n- [Canopy](https://example.com/funding/canopy) raised $32 million and, with 105 employees, will open a battery recycling facility." }
Result
Delivered (confirmed) as 6 messages. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees: 1) Acorn raised $18 million and will expand its grid-monitoring software into two new regions. 2) https://example.com/funding/acorn 3) Bramble raised $74 million and will automate clinical trial document review. 4) https://example.com/funding/bramble 5) Canopy raised $32 million and will open a battery recycling facility. 6) https://example.com/funding/canopy These 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. Your turn continues. answers: e75b9a5f-9d11-4ba5-89f4-d91bd8501ff8
Sub-agent trace (toolu_019TVF2h7aLyhCq5H1YjfcJa, 2 events)
tools_started send_message t=42512.487
Inner payload
{
  "tool_name": "send_message",
  "tool_input": {
    "final": true,
    "in_response_to": "e75b9a5f",
    "message": "- [Acorn](https://example.com/funding/acorn) raised $18 million and, with 74 employees, will expand its grid-monitoring software into two new regions.\n- [Bramble](https://example.com/funding/bramble) raised $74 million and, with 18 employees, will automate clinical trial document review.\n- [Canopy](https://example.com/funding/canopy) raised $32 million and, with 105 employees, will open a battery recycling facility."
  },
  "dispatch_id": "toolu_019TVF2h7aLyhCq5H1YjfcJa",
  "parent_dispatch_id": "",
  "handle": "",
  "panel_kind": ""
}
tools_completed send_message t=42512.488
Inner payload
{
  "tool_name": "send_message",
  "dispatch_id": "toolu_019TVF2h7aLyhCq5H1YjfcJa",
  "status": "completed",
  "result": "Delivered (confirmed) as 6 messages. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) Acorn raised $18 million and will expand its grid-monitoring software into two new regions.\n2) https://example.com/funding/acorn\n3) Bramble raised $74 million and will automate clinical trial document review.\n4) https://example.com/funding/bramble\n5) Canopy raised $32 million and will open a battery recycling facility.\n6) https://example.com/funding/canopy\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: e75b9a5f-9d11-4ba5-89f4-d91bd8501ff8",
  "error": "",
  "elapsed": 7.803360185
}
Turn 1: Assistant 1 Message ID: 22f97c20-4a3e-475a-950d-6de2c370e2ef
Acorn raised $18 million and will expand its grid-monitoring software into two new regions.
Turn 1: Assistant 2 Message ID: 759cb2cb-6599-4502-87d3-39143b9ea5a7
https://example.com/funding/acorn
Turn 1: Assistant 3 Message ID: 9a718c3f-f2d0-43ad-bb92-0d9c0a2d877c
Bramble raised $74 million and will automate clinical trial document review.
Turn 1: Assistant 4 Message ID: 5fe3d188-55cc-4ba4-9901-7f65f5abc855
https://example.com/funding/bramble
Turn 1: Assistant 5 Message ID: 3c1053e2-be9b-4458-8d9f-41f30279ab22
Canopy raised $32 million and will open a battery recycling facility.
Turn 1: Assistant 6 Message ID: 09e2440a-ca2c-4bb5-928f-aad719c46103
https://example.com/funding/canopy
Evidence for turn 1: E0001 (user message)E0002 (tool call)E0003 (tool result)E0004 (assistant message)E0005 (assistant message)E0006 (assistant message)E0007 (assistant message)E0008 (assistant message)E0009 (assistant message)

Normalized evidence

The redacted, numbered record a structured judge grades. Check rows above link to the IDs they cite.
E0001 · turn 1 · user message
Prepare a compact digest with one sentence for each company announcement. Keep the corresponding link in every sentence. The facts below are the complete source material. Acorn raised $18 million and has 74 employees. It plans to use the round to expand its grid-monitoring software into two new regions. https://example.com/funding/acorn Bramble raised $74 million and has 18 employees. It plans to use the round to automate clinical trial document review. https://example.com/funding/bramble Canopy raised $32 million and has 105 employees. It plans to use the round to open a battery recycling facility. https://example.com/funding/canopy
E0002 · turn 1 · tool call · send_message · dispatch toolu_019TVF2h7aLyhCq5H1YjfcJa
{"dispatch_id": "toolu_019TVF2h7aLyhCq5H1YjfcJa", "handle": "", "panel_kind": "", "parent_dispatch_id": "", "tool_input": {"final": true, "in_response_to": "e75b9a5f", "message": "- [Acorn](https://example.com/funding/acorn) raised $18 million and, with 74 employees, will expand its grid-monitoring software into two new regions.\n- [Bramble](https://example.com/funding/bramble) raised $74 million and, with 18 employees, will automate clinical trial document review.\n- [Canopy](https://example.com/funding/canopy) raised $32 million and, with 105 employees, will open a battery recycling facility."}, "tool_name": "send_message"}
E0003 · turn 1 · tool result · send_message · dispatch toolu_019TVF2h7aLyhCq5H1YjfcJa
{"dispatch_id": "toolu_019TVF2h7aLyhCq5H1YjfcJa", "elapsed": 7.803360185, "error": "", "result": "Delivered (confirmed) as 6 messages. Your draft was polished into texting register, so the wording differs from what you wrote; this is exactly what the user sees:\n1) Acorn raised $18 million and will expand its grid-monitoring software into two new regions.\n2) https://example.com/funding/acorn\n3) Bramble raised $74 million and will automate clinical trial document review.\n4) https://example.com/funding/bramble\n5) Canopy raised $32 million and will open a battery recycling facility.\n6) https://example.com/funding/canopy\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: e75b9a5f-9d11-4ba5-89f4-d91bd8501ff8", "status": "completed", "tool_name": "send_message"}
E0004 · turn 1 · assistant message
Acorn raised $18 million and will expand its grid-monitoring software into two new regions.
E0005 · turn 1 · assistant message
https://example.com/funding/acorn
E0006 · turn 1 · assistant message
Bramble raised $74 million and will automate clinical trial document review.
E0007 · turn 1 · assistant message
https://example.com/funding/bramble
E0008 · turn 1 · assistant message
Canopy raised $32 million and will open a battery recycling facility.
E0009 · turn 1 · assistant message
https://example.com/funding/canopy