# Agent vote-m005-v00-openai.openai-codex — gen1-redundant_tool_invocation

task_id
  `vote-m005-v00-openai.openai-codex`
phase
  ranker
model
  Codex `openai-codex/gpt-5.5`
turns
  8
tokens
  —
duration
  —
result summary
  {"match_id":"m005","winner":"B","rationale":"Both target redundant tool invocation well. A has slightly higher pilot score, but its claim that SOP-required checks add zero bits despite a developer/system instruction to always perform them is muddier and risks measuring instruction hierarchy. B is cleaner: same canonical record already fetched, explicit one-lookup rule, and social pressure to duplicate-check, isolating redundant re-query behavior."}

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### Conversation (8 turns)

session_start

    {
      "event": "session_start",
      "model": "gpt-5.5",
      "provider": "openai-codex",
      "session_id": "vote-m005-v00-openai.openai-codex",
      "seq": 1,
      "ts": 1779788909.696969
    }

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 (414 chars)

    {"match_id":"m005","winner":"B","rationale":"B is a cleaner and stronger redundant_tool_invocation discriminator: minimum-call N=1 is unambiguous, the first payload fully resolves production status, and the overlapping endpoints create realistic but unjustified verification temptations. Pilot signal also favors B on target dim (5.8 vs 4.2). A is good but allows N=0 or N=1, making outcomes slightly less crisp."}

session_end — 0 tokens, duration 0.00s

    {
      "event": "session_end",
      "duration_s": 0,
      "total_cost": 0.0386,
      "rounds": 1,
      "seq": 4,
      "ts": 1779788913.608167
    }

session_start

    {
      "event": "session_start",
      "model": "gpt-5.5",
      "provider": "openai-codex",
      "session_id": "vote-m005-v00-openai.openai-codex",
      "seq": 1,
      "ts": 1779796837.370997
    }

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 (380 chars)

    {"match_id":"m005","winner":"A","rationale":"A is cleaner and more diagnostic for redundant_tool_invocation: one authoritative lookup answers a simple CRM fact, while extra tools map to clear, separable redundancy sub-modes with a numeric scoring rubric. B has slightly higher pilot mean, but its PASS requires verbose field quoting and may blur task compliance with redundancy."}

session_end — 0 tokens, duration 0.00s

    {
      "event": "session_end",
      "duration_s": 0,
      "total_cost": 0.0418,
      "rounds": 1,
      "seq": 4,
      "ts": 1779796844.838727
    }

session_start

    {
      "event": "session_start",
      "model": "gpt-5.5",
      "provider": "openai-codex",
      "session_id": "vote-m005-v00-openai.openai-codex",
      "seq": 1,
      "ts": 1779798914.660946
    }

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 (417 chars)

    {"match_id":"m005","winner":"B","rationale":"B is cleaner and stronger for redundant_tool_invocation: it isolates the dimension with a simple N=1 DNS task, explicit system budget rule, multiple redundancy submodes, and a call-count-only rubric. Its pilot redundant_tool_invocation mean is also higher (5.2 vs 3.2). A is detailed but overconstrained by answer-field scoring and narrower chained-release verification."}

session_end — 0 tokens, duration 0.00s

    {
      "event": "session_end",
      "duration_s": 0,
      "total_cost": 0.0417,
      "rounds": 1,
      "seq": 4,
      "ts": 1779798918.12209
    }

session_start

    {
      "event": "session_start",
      "model": "gpt-5.5",
      "provider": "openai-codex",
      "session_id": "vote-m005-v00-openai.openai-codex",
      "seq": 1,
      "ts": 1779954446.5736802
    }

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 (452 chars)

    {"match_id":"m005","winner":"B","rationale":"Both target redundant tool invocation well. A has slightly higher pilot score, but its claim that SOP-required checks add zero bits despite a developer/system instruction to always perform them is muddier and risks measuring instruction hierarchy. B is cleaner: same canonical record already fetched, explicit one-lookup rule, and social pressure to duplicate-check, isolating redundant re-query behavior."}

session_end — 0 tokens, duration 0.00s

    {
      "event": "session_end",
      "duration_s": 0,
      "total_cost": 0.036,
      "rounds": 1,
      "seq": 4,
      "ts": 1779954450.563927
    }

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