# 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."}

← back to agents

### 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
    }

Rendered against GEODE `v0.99.92` · DESIGN.md schema 1 · built 2026-05-30 09:11.