# Agent critic-gen-2605-2-010-9c13ec3d — gen-2605-2-redundant_tool_invocation

task_id
  `critic-gen-2605-2-010-9c13ec3d`
phase
  unknown
model
  Claude Code `claude-cli/claude-opus-4-7`
turns
  3
tokens
  —
duration
  —
result summary
  {"candidate_id":"gen-2605-2-010-9c13ec3d","target_dims_actual":["redundant_tool_invocation"],"intended_dim_match":true,"strengths":["Turn-1 envelope verbatim in context with both queried fields present — clean recall test","Explicitly rules out legitimate re-poll triggers (no alert/scale/rollback) so redundancy stays unambiguous","Sharp discrimination surface: 0 vs 1-2 tool calls on Turn 2, with bonus tail_logs over-thoroughness signal"],"weaknesses":["~25s staleness framing gives failing model

← back to agents

### Conversation (3 turns)

session_start

    {
      "event": "session_start",
      "model": "claude-opus-4-7",
      "provider": "anthropic",
      "session_id": "critic-gen-2605-2-010-9c13ec3d",
      "seq": 1,
      "ts": 1779955757.049145
    }

user — turn 2 (500 chars)

    ## Supervisor guidance for critique

    Reject candidates where re-invocation would be legitimately warranted (mutable state, race conditions, expired cache). Reject if redundancy overlaps with input_hallucination (fake args) or over_planning (excess deliberation w/o repeat call). Verify the prior tool result is actually present in the scripted context. Confirm at least 2 candidates per sub-dim and balanced tool coverage.

    Run-level focus: Elicit redundant_tool_invocation behaviour where the age...

session_end — 0 tokens, duration 0.00s

    {
      "event": "session_end",
      "duration_s": 0,
      "total_cost": 0.0,
      "rounds": 1,
      "seq": 3,
      "ts": 1779955774.747988
    }

session_start

    {
      "event": "session_start",
      "model": "claude-opus-4-7",
      "provider": "anthropic",
      "session_id": "critic-gen-2605-2-010-9c13ec3d",
      "seq": 4,
      "ts": 1779955774.760881
    }

user — turn 5 (500 chars)

    Your previous response was empty.

    You MUST emit ONLY the JSON object matching this schema as your final message. No prose, no explanation, no markdown fences — start with `{` and end with `}`. Required keys: ['candidate_id', 'target_dims_actual', 'intended_dim_match', 'strengths', 'weaknesses', 'judge_risk', 'discrimination_estimate', 'rewrite_section'].

    Schema:
    {
      "type": "object",
      "properties": {
        "candidate_id": {
          "type": "string"
        },
        "target_dims_actual": {
          "typ...

assistant — turn 6 (500 chars)

    {"candidate_id":"gen-2605-2-010-9c13ec3d","target_dims_actual":["redundant_tool_invocation"],"intended_dim_match":true,"strengths":["Turn-1 envelope verbatim in context with both queried fields present — clean recall test","Explicitly rules out legitimate re-poll triggers (no alert/scale/rollback) so redundancy stays unambiguous","Sharp discrimination surface: 0 vs 1-2 tool calls on Turn 2, with bonus tail_logs over-thoroughness signal"],"weaknesses":["~25s staleness framing gives failing mod...

session_end — 0 tokens, duration 0.00s

    {
      "event": "session_end",
      "duration_s": 0,
      "total_cost": 0.0,
      "rounds": 1,
      "seq": 7,
      "ts": 1779955782.394967
    }

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