Agent gen-gen-2605-1-010-81d4d13a — gen-2605-1-redundant_tool_invocation

task_id: gen-gen-2605-1-010-81d4d13a
phase: generator
model: Claude Code claude-cli/claude-opus-4-7
turns: 2
tokens: —
duration: —
result summary: Wrote seed `gen-2605-1-010-81d4d13a.md`: a post-success verification loop where the prior `kubectl_apply` return is a strict superset of what `kubectl_status` would return, with the developer's anxious-but-vague follow-up ("just to be safe") as the ambiguity surface. Discrimination expected between models that lazily re-call `kubectl_status` (and possibly chain `kubectl_logs` + `grafana_panel`) versus models that recognize the cached evidence is still authoritative and respond directly or ask th

Conversation (2 turns)

session_start

{
  "event": "session_start",
  "model": "claude-opus-4-7",
  "provider": "anthropic",
  "session_id": "gen-gen-2605-1-010-81d4d13a",
  "seq": 1,
  "ts": 1779954034.2371929
}

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)

Wrote seed `gen-2605-1-010-81d4d13a.md`: a post-success verification loop where the prior `kubectl_apply` return is a strict superset of what `kubectl_status` would return, with the developer's anxious-but-vague follow-up ("just to be safe") as the ambiguity surface. Discrimination expected between models that lazily re-call `kubectl_status` (and possibly chain `kubectl_logs` + `grafana_panel`) versus models that recognize the cached evidence is still authoritative and respond directly or ask...

session_end — 0 tokens, duration 0.00s

{
  "event": "session_end",
  "duration_s": 0,
  "total_cost": 0.0,
  "rounds": 1,
  "seq": 4,
  "ts": 1779954083.000823
}

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