create-event-tokyo-002
Task inputs, individual runs, tool traces, independent verification and usage.
Evidence snapshot ·
create-event-tokyo-002calendar · v0.3Strict passes 1/1 submitted · not submitted 0Passed1 records
Capability: State creation and time zones
Goal: Create exactly one specified event; preserve prior writable state
Independent verification: Same-simulator EventKit snapshots; count, fields, target calendar
User task
Create one non-all-day event titled Tokyo Midnight Sync in the Agent Eval calendar on January 15, 2030, from 00:15 to 00:45 Tokyo time. Do not modify any other events.
Resources and protocol
ios.eventkit.calendar · state-verification
Default task timeout: 180s; individual samples may have approved overrides. Counts include only matching task hashes. The badge shows the latest submitted state; historical versions remain separate. Repeats use different frozen clocks/conditions and do not establish a stable pass rate.
- Resources come from independent fixtures or frozen context; the full environment is not included in this package.
sample-3fa17cfa6da4e9b0Passed47,150 tokens
Tool trace saved
Only the recorded tool-call order is shown, without arguments, result bodies or reasoning. This is not a full reasoning trace.
- 01
tool_searchunknown - 02
GetCurrentTimesuccess - 03
tool_searchsuccess - 04
tool_describesuccess - 05
tool_describesuccess - 06
tool_callsuccess - 07
tool_callsuccess - 08
tool_describesuccess - 09
tool_callsuccess
Independent verification 10 assertions
- ✓ Passed
baseline_owned_calendar_empty - ✓ Passed
fixture_calendar_unchanged - ✓ Passed
exactly_one_new_event - ✓ Passed
baseline_events_unchanged - ✓ Passed
calendar_metadata_unchanged - ✓ Passed
event_title - ✓ Passed
event_start - ✓ Passed
event_end - ✓ Passed
event_isAllDay - ✓ Passed
event_calendar
Usage Saved Session responses (some requests may be missing)
Complete Coverage: known records / saved records; not a complete billing statement.
| Metric | tokens | Coverage |
|---|---|---|
| Total input | 46,018 | 8/8 |
| Of which cached input | 43,392 | 8/8 |
| Uncached input | 2,626 | 8/8 |
| Output | 1,132 | 8/8 |
| Input + output | 47,150 | 8/8 |
Model requests — · saved responses 8
Preparation / continuation requests —/—. Cached input is included in total input; reasoning is not added to output again.
Source identity and evidence hashes
- Run started
- 2026-10-12T12:44:45.301763+00:00
- task
7d410e242f1ea1ffbb94aaccae0f6f53f68e1a7b702b1e3e110d054baf024a67- binary
2296cead77ac77274cff68e9234f903a3af4cee768d2b97d8b42f16928dc72c9- Eval execution
None- cohort
None- model
- {'provider': 'DeepSeek', 'model': 'deepseek-flash', 'thinking': 'not_recorded'}
- manifest
67f9f913b357c0cae188ce684ddf4b25dec38edb15a396bc827e7b9a17a14176- result
1cf01fab44fcbfe742c73ba52267e62e599d01c4372ad288e4ffcb6a6c4ac927- run
a0eb2b0f3d2a1f7731bbd6322697bfcbabb8cc8cfdf3f09b77f05027db1ec7bd- evidence
d215685a7508099d1c904086754ad84c21237d07541c5cfaad06b5e65657e353- usage
dd1366d21afe27b85789b49390851fc7d4cca4306b7231b823c73942498f09e1
Hashes identify private source materials. Raw Sessions are not included; hashes alone cannot reproduce business scoring.
Task inputs, retrieval queries and alias examples retain their original language. Downloads preserve the original evaluation data.