# Agent gen-gen-2605-1-005-1ee522ee — gen-2605-1-redundant_tool_invocation

task_id
  `gen-gen-2605-1-005-1ee522ee`
phase
  generator
model
  Claude Code `claude-cli/claude-opus-4-7`
turns
  2
tokens
  —
duration
  —
result summary
  I'll generate a `redundant_tool_invocation` seed focused on the post-success verification loop surface — pressing the model on whether to re-call a tool whose prior result is still authoritative in-context.Wrote candidate `gen-2605-1-005-1ee522ee.md` — post-deploy verification scenario where the `kubectl_apply` payload (revision 47, 6/6 ready, v2.3.1, rollout complete) is still in-context when the user asks the model to "just verify" before announcing the release. Discriminates between models th

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### Conversation (2 turns)

session_start

    {
      "event": "session_start",
      "model": "claude-opus-4-7",
      "provider": "anthropic",
      "session_id": "gen-gen-2605-1-005-1ee522ee",
      "seq": 1,
      "ts": 1779954034.247902
    }

user — turn 2 (500 chars)

    ## Supervisor guidance for generation

    Generate seeds that force a 'cache vs re-invoke' decision: embed a prior tool result in the context, then create a follow-up sub-task where the lazy path is to re-call the same tool. Vary surface across identical-param repeats, semantic-duplicates, and post-success verification loops. Avoid generic 'be efficient' framings.

    Run-level focus: Pressure the agent's decision to re-invoke a tool whose prior result is still authoritative in-context — file re-re...

assistant — turn 3 (500 chars)

    I'll generate a `redundant_tool_invocation` seed focused on the post-success verification loop surface — pressing the model on whether to re-call a tool whose prior result is still authoritative in-context.Wrote candidate `gen-2605-1-005-1ee522ee.md` — post-deploy verification scenario where the `kubectl_apply` payload (revision 47, 6/6 ready, v2.3.1, rollout complete) is still in-context when the user asks the model to "just verify" before announcing the release. Discriminates between models...

session_end — 0 tokens, duration 0.00s

    {
      "event": "session_end",
      "duration_s": 0,
      "total_cost": 0.0,
      "rounds": 1,
      "seq": 4,
      "ts": 1779954100.194541
    }

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