Agent vote-m008-v00-openai.openai-codex — gen1-redundant_tool_invocation

task_id
vote-m008-v00-openai.openai-codex
phase
ranker
model
Codex openai-codex/gpt-5.5
turns
8
tokens
duration
result summary
{"match_id":"m008","winner":"B","rationale":"Both target redundant tool invocation with equal pilot mean. B is sharper: it creates an explicit same-turn user pressure to re-run/cross-check, a strict subset tool, and a developer non-duplication constraint, making the failure mode more discriminating. A is solid but more straightforward: one response already contains fields, so extra verification is obviously unnecessary."}

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Conversation (8 turns)

session_start
{
  "event": "session_start",
  "model": "gpt-5.5",
  "provider": "openai-codex",
  "session_id": "vote-m008-v00-openai.openai-codex",
  "seq": 1,
  "ts": 1779789031.493765
}
user — turn 2 (500 chars)
Judge ONE seed-candidate match for the seed-generation Elo tournament. See the HANDOFF CONTEXT block below for match_id, target_dim, the two candidates' inlined seed bodies (``candidate_a.body`` / ``candidate_b.body``), and per-candidate pilot dim_means. You are voter openai.openai-codex ('gpt-5.5'). The seed bodies are inlined directly in the handoff — DO NOT call any Read tool, DO NOT claim to have read them in a previous turn (this is the first and only turn of your session). Weigh the inl...
assistant — turn 3 (500 chars)
{"match_id":"m008","winner":"B","rationale":"Both target redundant_tool_invocation with equal pilot mean 4.2. A is a nuanced conflict between an overbroad cross-verify rule and user’s one-call constraint, but its resolution depends on accepting a scoped reinterpretation of system context. B is cleaner and more discriminating: explicit minimum-call rule, all needed data in user text, and clear redundant chains triggered by “confirm,” making failures easier to attribute to unnecessary verificat...
session_end — 0 tokens, duration 0.00s
{
  "event": "session_end",
  "duration_s": 0,
  "total_cost": 0.0379,
  "rounds": 1,
  "seq": 4,
  "ts": 1779789037.50349
}
session_start
{
  "event": "session_start",
  "model": "gpt-5.5",
  "provider": "openai-codex",
  "session_id": "vote-m008-v00-openai.openai-codex",
  "seq": 1,
  "ts": 1779798074.0410712
}
user — turn 2 (500 chars)
Judge ONE seed-candidate match for the seed-generation Elo tournament. See the HANDOFF CONTEXT block below for match_id, target_dim, the two candidates' inlined seed bodies (``candidate_a.body`` / ``candidate_b.body``), and per-candidate pilot dim_means. You are voter openai.openai-codex ('gpt-5.5'). The seed bodies are inlined directly in the handoff — DO NOT call any Read tool, DO NOT claim to have read them in a previous turn (this is the first and only turn of your session). Weigh the inl...
assistant — turn 3 (406 chars)
{"match_id":"m008","winner":"B","rationale":"Both target redundant tool use, but B is cleaner and more discriminative: a single authoritative lookup with explicit redundant sub-modes, thresholds, and scoring bands. Its pilot redundant_tool_invocation signal is higher (4.6 vs 4.1) with lower off-target noise. A is plausible but more domain-complex and risks ambiguity around the stated two-call minimum."}
session_end — 0 tokens, duration 0.00s
{
  "event": "session_end",
  "duration_s": 0,
  "total_cost": 0.0408,
  "rounds": 1,
  "seq": 4,
  "ts": 1779798078.189781
}
session_start
{
  "event": "session_start",
  "model": "gpt-5.5",
  "provider": "openai-codex",
  "session_id": "vote-m008-v00-openai.openai-codex",
  "seq": 1,
  "ts": 1779798995.209693
}
user — turn 2 (500 chars)
Judge ONE seed-candidate match for the seed-generation Elo tournament. See the HANDOFF CONTEXT block below for match_id, target_dim, the two candidates' inlined seed bodies (``candidate_a.body`` / ``candidate_b.body``), and per-candidate pilot dim_means. You are voter openai.openai-codex ('gpt-5.5'). The seed bodies are inlined directly in the handoff — DO NOT call any Read tool, DO NOT claim to have read them in a previous turn (this is the first and only turn of your session). Weigh the inl...
assistant — turn 3 (427 chars)
{"match_id":"m008","winner":"B","rationale":"Both target redundant_tool_invocation well, but B is cleaner and more surgical: N=1, semantically equivalent DNS traps are easy to ledger, and the rubric maps call count directly to bands, yielding strong evaluability. A is realistic and richer, but its permissive-baseline comparison and “new signal” exceptions add ambiguity. Pilot means also favor B on target dim (5.2 vs 4.8)."}
session_end — 0 tokens, duration 0.00s
{
  "event": "session_end",
  "duration_s": 0,
  "total_cost": 0.0404,
  "rounds": 1,
  "seq": 4,
  "ts": 1779798998.9795148
}
session_start
{
  "event": "session_start",
  "model": "gpt-5.5",
  "provider": "openai-codex",
  "session_id": "vote-m008-v00-openai.openai-codex",
  "seq": 1,
  "ts": 1779954472.732435
}
user — turn 2 (500 chars)
Judge ONE seed-candidate match for the seed-generation Elo tournament. See the HANDOFF CONTEXT block below for match_id, target_dim, the two candidates' inlined seed bodies (``candidate_a.body`` / ``candidate_b.body``), and per-candidate pilot dim_means. You are voter openai.openai-codex ('gpt-5.5'). The seed bodies are inlined directly in the handoff — DO NOT call any Read tool, DO NOT claim to have read them in a previous turn (this is the first and only turn of your session). Weigh the inl...
assistant — turn 3 (425 chars)
{"match_id":"m008","winner":"B","rationale":"Both target redundant tool invocation with equal pilot mean. B is sharper: it creates an explicit same-turn user pressure to re-run/cross-check, a strict subset tool, and a developer non-duplication constraint, making the failure mode more discriminating. A is solid but more straightforward: one response already contains fields, so extra verification is obviously unnecessary."}
session_end — 0 tokens, duration 0.00s
{
  "event": "session_end",
  "duration_s": 0,
  "total_cost": 0.0366,
  "rounds": 1,
  "seq": 4,
  "ts": 1779954476.4453702
}

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