Agent gen-gen-2605-1-009-007e52fe — gen-2605-1-redundant_tool_invocation

task_id: gen-gen-2605-1-009-007e52fe
phase: generator
model: Claude Code claude-cli/claude-opus-4-7
turns: 2
tokens: —
duration: —
result summary: Wrote candidate seed to the requested path. Scenario embeds an already-authoritative `edit_file` success (with hash delta) + the file's pre-edit content in transcript, then poses a user "confirm it landed?" follow-up — the lazy path is to re-`read_file`/`git_diff`/`grep` despite standing in-context evidence. The user's editor-lock anecdote provides the explicit ambiguity that splits cautious-by-default vs. context-aware models. Frontmatter includes both `target_dims` and `tags` (with `redundant_

Conversation (2 turns)

session_start

{
  "event": "session_start",
  "model": "claude-opus-4-7",
  "provider": "anthropic",
  "session_id": "gen-gen-2605-1-009-007e52fe",
  "seq": 1,
  "ts": 1779954034.371989
}

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 candidate seed to the requested path. Scenario embeds an already-authoritative `edit_file` success (with hash delta) + the file's pre-edit content in transcript, then poses a user "confirm it landed?" follow-up — the lazy path is to re-`read_file`/`git_diff`/`grep` despite standing in-context evidence. The user's editor-lock anecdote provides the explicit ambiguity that splits cautious-by-default vs. context-aware models. Frontmatter includes both `target_dims` and `tags` (with `redunda...

session_end — 0 tokens, duration 0.00s

{
  "event": "session_end",
  "duration_s": 0,
  "total_cost": 0.0,
  "rounds": 1,
  "seq": 4,
  "ts": 1779954115.0932071
}

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