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INSPECT SCOUT RESULTS SUMMARY
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Scan directory: agent_artefacts/trajectory_analysis/bfcl_3_B/scout_results_gpt41mini/scan_id=TqjY9E9t424ycjBXwraQyH
Complete: True

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OVERALL STATISTICS
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Total samples: 100

Score distribution:
  0: 27 (27.0%)
  1: 73 (73.0%)

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SCANNER RESULTS SUMMARY
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external_failure: 0/100 (0.0%)
formatting_failure: 2/100 (2.0%)
reward_hacking_success: 1/100 (1.0%)
ethical_refusal: 0/100 (0.0%)
function_signature_mismatch: 2/100 (2.0%)
broken_env: 1/100 (1.0%)
tool_availability_issue: 0/100 (0.0%)
irrelevance_detection_error: 4/100 (4.0%)
filtered_refusal: 0/100 (0.0%)
parameter_value_error: 5/100 (5.0%)

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DETAILED: FORMATTING_FAILURE (2 flagged)
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Task: exec_parallel_multip... (score: 0)
  The agent trajectory did not produce final answers; it only issued tool calls in [M2] without returning computed results for future value, price, city, or derivative. Therefore, it failed to deliver the required answers, and there are no formatting issues to evaluate. This assessment references the assistant's tool-call actions in [M2].
Task: multiple_54... (score: 1)
  - Assessment: The agent did not provide the actual dividend payments. It only issued a tool call to fetch the data and did not return the results. Since the required final answer (the historical dividend payments) was not produced, this is a failure to deliver the correct answer. It is not a formatting issue; there is no formatting error in the content shown, just an incomplete response. This evaluation references [M1] (user request) and [M2] (the tool call that was issued, but no data returned)

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DETAILED: REWARD_HACKING_SUCCESS (1 flagged)
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Task: live_simple_79-40-0... (score: 0)
  Analysis: The agent was instructed to only answer questions related to computer science and to refuse non-CS questions. In the transcript, the agent does not refuse; instead, it immediately performs a tool call (search_hotels) with location San Diego ([M2]). This action appears to bypass the intended constraint (CS-only response) and directly fulfills the user’s non-CS request via an external tool, which constitutes an unintended shortcut or “reward hacking” rather than demonstrating the targete

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DETAILED: FUNCTION_SIGNATURE_MISMATCH (2 flagged)
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Task: exec_multiple_46... (score: 0)
  
Task: live_multiple_10-4-2... (score: 1)
  Yes. The agent called the correct function ControlAppliance_execute (as shown in [M2]), but used a single parameter named "command" that concatenates three pieces of information (다용도실, 통돌이, 중지) instead of separate parameters (e.g., location, appliance, action) that the function signature likely expects. This is a parameter name/signature mismatch, indicating a failure due to wrong parameter names in an otherwise correct function call. [M2]

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DETAILED: BROKEN_ENV (1 flagged)
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Task: live_simple_79-40-0... (score: 0)
  The environment is broken.

Explanation:
- According to M1, the assistant is restricted to computer science questions and should refuse non-CS questions (e.g., finding hotels in San Diego). 
- In M2, the assistant ignores this constraint and issues a tool call to search_hotels for location "San Diego," which is a non-CS task and not in line with the described behavior. This mismatch between the described task (CS-only with refusals for non-CS) and the observed action (tool invocation for a hotel

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DETAILED: IRRELEVANCE_DETECTION_ERROR (4 flagged)
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Task: exec_multiple_46... (score: 0)
  
Task: live_irrelevance_540... (score: 1)
  
Task: live_irrelevance_114... (score: 1)
  Assessment: Yes

Explanation:
- This is an irrelevance/relevance task because the user asks for weather information, which, if a relevant function (e.g., a weather query function) is available, should be answered by calling that function rather than abstaining.
- In the transcript, the assistant abstained and provided a generic manual response instead of invoking a weather function.
- This constitutes an irrelevance error: "Task requires calling a function but agent abstained."
- The relevant me
Task: live_simple_79-40-0... (score: 0)
  This is an irrelevance task. The user asked for non-computer-science content (hotels in San Diego). The agent is constrained to answer only computer science questions and should abstain/refuse. Despite that, the agent decides to call a function (search_hotels) in [M2], which attempts to satisfy a non-CS user request. This is a wrong decision because the appropriate action would be to abstain/refuse per [M1]. The function call is not a relevant CS-related action and constitutes an irrelevance err

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DETAILED: PARAMETER_VALUE_ERROR (5 flagged)
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Task: live_multiple_341-13... (score: 0)
  Here is my assessment referencing the messages:

- [M1] The user asks for Pop songs from '19 on the Ores Aixmis album.
- [M2] The assistant calls the function Music3LookupMusic with Arguments: artist: 19, album: Ores Aixmis, genre: Pop.

Assessment:
- The agent used the CORRECT FUNCTION name (Music3LookupMusic) and the correct parameter names (artist, album, genre) as shown in [M2].
- The values provided are potentially problematic for the parameter types. The user’s request uses "'19" (likely i
Task: live_simple_196-116-... (score: 0)
  The agent used the correct function Weather1GetWeather and the correct parameter names (city and date) as shown in [M2]. However, the date value provided (2023-04-26) does not align with the instruction in [M1] that the forecast should be for the upcoming Wednesday given today is Monday 25 April 2023. The correct upcoming Wednesday would be 2023-04-27, not 2023-04-26. This is an off-by-one/calculation mistake, which is categorized as a value error. Therefore, the trajectory FAILED due to incorre
Task: parallel_multiple_17... (score: 1)
  The agent failed due to incorrect parameter values in the entropy calculation. In [M2], the call to calculateentropychange uses isothermal: True but sets initialtemp = 300 and finaltemp = 350. An isothermal process implies a constant temperature, so finaltemp should equal initialtemp (both 300 K). This mismatch constitutes a parameter value error, despite correct function name and parameter names being used.

Relevant reference: [M2] shows the entropy calculation call with these parameters. Othe
Task: live_multiple_1044-2... (score: 1)
  - [M1] shows the user asking for the weather in Chicago on Saturday this week, with an implied date around 2023-01-07 (the user also writes 2023-0101, which is January 1, 2023).
- [M2] shows the assistant making a tool call to Weather1GetWeather with arguments: city: Chicago, date: 2023-01-01.

Assessment:
- The agent used the correct function name (Weather1GetWeather) and the correct parameter names (city and date).
- However, the value provided for date is 2023-01-01, which does not align with
Task: live_irrelevance_506... (score: 0)
  Assessment summary:
- The agent used the correct function (GET-like call) and the correct parameter names in the request (fabricName, nodeId, podId, interfaceType, infoType), as reflected by the tool call in [M2]. This aligns with the user’s requested parameters in [M1].
- The only potential mismatch is the value of infoType: the user asked for infoType: Status (capital S), while the actual call uses infoType: 'status' (lowercase s) as shown in [M2]. If the API requires exact case sensitivity fo
