Toolathlon

train-ticket-plan

Plan a round trip to Qufu for two travellers, one from Beijing South and one from Shanghai Hongqiao, on direct high-speed or EMU trains: out next Thursday after 5 PM and back on Sunday between 2 PM and 6 PM, using the same Qufu station each way and arriving and departing within 30 minutes of each other. Write one valid combination, or null for a day with none, to train-ticket-plan.json in the format of format.json.

Task Prompt

My friend and I have planned a trip to qufu(曲阜). We will depart on the evening of next Thursday (trains departing after 5 PM) and leave on Sunday afternoon (trains departing between 2 PM and 6 PM). I am in 北京 and will depart from and return to Beijing Nan station(北京南站). She is in Shanghai(上海) and will depart from and return to Shanghai Hongqiao(上海虹桥). Can you help us find round-trip tickets for each of us? We need direct high-speed trains (高铁) or EMU trains (动车). We must arrive at the same station in qufu(曲阜), and we must also depart from the same station in qufu(曲阜). However, the arrival station and the departure station do not have to be the same. Another requirement is that the difference in our arrival times should not exceed 30 minutes, and similarly, the difference in our departure times on the day we leave should not exceed 30 minutes. Can you tell me which trains we should take for our round trip? Please ignore ticket availability for now and just return any one possible combination in the format specified in format.json. If you cannot find a suitable combination for any given day, return null for that day:
{
"thursday": null,
"sunday": null
}
Finally, please fill in the file `train-ticket-plan.json` with your result, and strictly follow the format in `format.json`. Please use the official English translation for each railway station.

VFS.md

---
name: workspace-filesystem
description: The virtual filesystem layout of this workspace.
---

# Virtual Filesystem

You work in a terminal over a virtual filesystem. Read files with shell
commands; service operations are listed in SKILL.md.

| Path | Description |
|---|---|
| `/workspace` | Agent workspace; current directory and home (`~`). |
| `/tmp` | Temporary files. |
| `/dev` | Device files: `null` and `zero` (mounted automatically). |

name	workspace-filesystem
description	The virtual filesystem layout of this workspace.

Virtual Filesystem

You work in a terminal over a virtual filesystem. Read files with shell commands; service operations are listed in SKILL.md.

Path	Description
`/workspace`	Agent workspace; current directory and home (`~`).
`/tmp`	Temporary files.
`/dev`	Device files: `null` and `zero` (mounted automatically).

SKILL.md

---
name: workspace-commands
description: The shell commands and task tools available in this workspace.
---

# Available commands

Standard Unix commands, among them:

    cat  head  tail  ls  find  grep  wc  sort  uniq  cut  tr  sed  awk
    diff  tee  xargs  jq  unzip  curl

with pipes, `>` redirection, `$(...)` substitution and `$'...'`.

The task CLIs below are registered with this shell rather than installed
as files; do not inspect them with `which`, `file` or `/usr/bin`.

## web-search

Use `web-search <command> '<JSON arguments>'`. Run
`web-search <command> --help` to get more information.

| Command | Arguments | Description |
|---|---|---|
| `web-search web-search` | `{query: str, num_results?: int = 10}` | Search the web using Google Serper API with concurrency control and retry mechanisms. Supports various Google search operators. — `query`: Search query with optional Google search operators.; `num_results`: Number of results to return, default 10, max 50 |

## fetch

Use `fetch <command> '<JSON arguments>'`. Run `fetch <command> --help` to
get more information.

| Command | Arguments | Description |
|---|---|---|
| `fetch html` | `{url: str, headers?: dict}` | Fetch a website and return the content as HTML — `url`: URL of the website to fetch; `headers`: Optional headers to include in the request |
| `fetch markdown` | `{url: str, headers?: dict}` | Fetch a website and return the content as Markdown — `url`: URL of the website to fetch; `headers`: Optional headers to include in the request |
| `fetch txt` | `{url: str, headers?: dict}` | Fetch a website, return the content as plain text (no HTML) — `url`: URL of the website to fetch; `headers`: Optional headers to include in the request |
| `fetch json` | `{url: str, headers?: dict}` | Fetch a JSON file from a URL — `url`: URL of the JSON to fetch; `headers`: Optional headers to include in the request |

## rail-12306

Use `rail-12306 <command> '<JSON arguments>'`. Run
`rail-12306 <command> --help` to get more information.

| Command | Arguments | Description |
|---|---|---|
| `rail-12306 get-current-date` | `{}` | 获取当前日期，以上海时区（Asia/Shanghai, UTC+8）为准，返回格式为 "yyyy-MM-dd"。主要用于解析用户提到的相对日期（如“明天”、“下周三”），提供准确的日期输入。 |
| `rail-12306 get-stations-code-in-city` | `{city: str}` | 通过中文城市名查询该城市 **所有** 火车站的名称及其对应的 `station_code`，结果是一个包含多个车站信息的列表。 — `city`: 中文城市名称，例如："北京", "上海" |
| `rail-12306 get-station-code-of-citys` | `{citys: str}` | 通过中文城市名查询代表该城市的 `station_code`。 — `citys`: 要查询的城市，比如"北京"。若要查询多个城市，请用\|分割，比如"北京\|上海"。 |
| `rail-12306 get-station-code-by-names` | `{stationNames: str}` | 通过具体的中文车站名查询其 `station_code` 和车站名。 — `stationNames`: 具体的中文车站名称，例如："北京南", "上海虹桥"。若要查询多个站点，请用\|分割，比如"北京南\|上海虹桥"。 |
| `rail-12306 get-station-by-telecode` | `{stationTelecode: str}` | 通过车站的 `station_telecode` 查询车站的详细信息，包括名称、拼音、所属城市等。此接口主要用于在已知 `telecode` 的情况下获取更完整的车站数据，或用于特殊查询及调试目的。一般用户对话流程中较少直接触发。 — `stationTelecode`: 车站的 `station_telecode` (3位字母编码) |
| `rail-12306 get-tickets` | `{date: str, fromStation: str, toStation: str, trainFilterFlags?: str = "", earliestStartTime?: number = 0, latestStartTime?: number = 24, sortFlag?: str = "", sortReverse?: bool = false, limitedNum?: number = 0, format?: str = "text"}` | 查询12306余票信息。 — `date`: 查询日期，格式为 "yyyy-MM-dd"。如果用户提供的是相对日期（如“明天”），请务必先调用 `get-current-date` 接口获取当前日期，并计算出目标日期。; `fromStation`: 出发地的中文名或站点的 `station_code`（可通过 `get-station-code-by-names` 或 `get-station-code-of-citys` 接口查询得到）; `toStation`: 到达地的中文名或站点的 `station_code`（可通过 `get-station-code-by-names` 或 `get-station-code-of-citys` 接口查询得到）; `trainFilterFlags`: 车次筛选条件，默认为空，即不筛选。支持多个标志同时筛选。例如用户说“高铁票”，则应使用 "G"。可选标志：[G(高铁/城际),D(动车),Z(直达特快),T(特快),K(快速),O(其他),F(复兴号),S(智能动车组)]; `earliestStartTime`: 最早出发时间（0-24），默认为0。; `latestStartTime`: 最迟出发时间（0-24），默认为24。; `sortFlag`: 排序方式，默认为空，即不排序。仅支持单一标识。可选标志：[startTime(出发时间从早到晚), arriveTime(抵达时间从早到晚), duration(历时从短到长)]; `sortReverse`: 是否逆向排序结果，默认为false。仅在设置了sortFlag时生效。; `limitedNum`: 返回的余票数量限制，默认为0，即不限制。; `format`: 返回结果格式，默认为text，建议使用text与csv。可选标志：[text, csv, json] |
| `rail-12306 get-interline-tickets` | `{date: str, fromStation: str, toStation: str, middleStation?: str = "", showWZ?: bool = false, trainFilterFlags?: str = "", earliestStartTime?: number = 0, latestStartTime?: number = 24, sortFlag?: str = "", sortReverse?: bool = false, limitedNum?: number = 10, format?: str = "text"}` | 查询12306中转余票信息。尚且只支持查询前十条。 — `date`: 查询日期，格式为 "yyyy-MM-dd"。如果用户提供的是相对日期（如“明天”），请务必先调用 `get-current-date` 接口获取当前日期，并计算出目标日期。; `fromStation`: 出发地的中文名或站点的 `station_code`（可通过 `get-station-code-by-names` 或 `get-station-code-of-citys` 接口查询得到）; `toStation`: 到达地的中文名或站点的 `station_code`（可通过 `get-station-code-by-names` 或 `get-station-code-of-citys` 接口查询得到）; `middleStation`: 中转地的中文或站点的 `station_code`（可通过 `get-station-code-by-names` 或 `get-station-code-of-citys` 接口查询得到）。该参数可选。; `showWZ`: 是否显示无座车，默认不显示无座车。; `trainFilterFlags`: 车次筛选条件，默认为空。从以下标志中选取多个条件组合[G(高铁/城际),D(动车),Z(直达特快),T(特快),K(快速),O(其他),F(复兴号),S(智能动车组)]; `earliestStartTime`: 最早出发时间（0-24），默认为0。; `latestStartTime`: 最迟出发时间（0-24），默认为24。; `sortFlag`: 排序方式，默认为空，即不排序。仅支持单一标识。可选标志：[startTime(出发时间从早到晚), arriveTime(抵达时间从早到晚), duration(历时从短到长)]; `sortReverse`: 是否逆向排序结果，默认为false。仅在设置了sortFlag时生效。; `limitedNum`: 返回的中转余票数量限制，默认为10。; `format`: 返回结果格式，默认为text，建议使用text。可选标志：[text, json] |
| `rail-12306 get-train-route-stations` | `{trainCode: str, departDate: str, format?: str = "text"}` | 查询特定列车车次在指定区间内的途径车站、到站时间、出发时间及停留时间等详细经停信息。当用户询问某趟具体列车的经停站时使用此接口。 — `trainCode`: 要查询的车次 `train_code`，例如"G1033"。; `departDate`: 列车出发的日期 (格式: yyyy-MM-dd)。如果用户提供的是相对日期，请务必先调用 `get-current-date` 解析。; `format`: 返回结果格式，默认为text，建议使用text。可选标志：[text, json] |

## git

Use `git --help` for Git operations on workspace repositories.

## python3

Execute Python code directly under the agent workspace and return stdout
and stderr. Code can be pasted into a `.py` file and run with `python3`.

Python cannot launch subprocesses or make direct network requests. Run the
documented service commands directly in the shell. Use Python for local
file processing and generating JSON arguments.

name	workspace-commands
description	The shell commands and task tools available in this workspace.

Available commands

Standard Unix commands, among them:

cat  head  tail  ls  find  grep  wc  sort  uniq  cut  tr  sed  awk
diff  tee  xargs  jq  unzip  curl

with pipes, > redirection, $(...) substitution and $'...'.

The task CLIs below are registered with this shell rather than installed as files; do not inspect them with which, file or /usr/bin.

web-search

Use web-search <command> '<JSON arguments>'. Run web-search <command> --help to get more information.

Command	Arguments	Description
`web-search web-search`	`{query: str, num_results?: int = 10}`	Search the web using Google Serper API with concurrency control and retry mechanisms. Supports various Google search operators. — `query`: Search query with optional Google search operators.; `num_results`: Number of results to return, default 10, max 50

fetch

Use fetch <command> '<JSON arguments>'. Run fetch <command> --help to get more information.

Command	Arguments	Description
`fetch html`	`{url: str, headers?: dict}`	Fetch a website and return the content as HTML — `url`: URL of the website to fetch; `headers`: Optional headers to include in the request
`fetch markdown`	`{url: str, headers?: dict}`	Fetch a website and return the content as Markdown — `url`: URL of the website to fetch; `headers`: Optional headers to include in the request
`fetch txt`	`{url: str, headers?: dict}`	Fetch a website, return the content as plain text (no HTML) — `url`: URL of the website to fetch; `headers`: Optional headers to include in the request
`fetch json`	`{url: str, headers?: dict}`	Fetch a JSON file from a URL — `url`: URL of the JSON to fetch; `headers`: Optional headers to include in the request

rail-12306

Use rail-12306 <command> '<JSON arguments>'. Run rail-12306 <command> --help to get more information.

Command	Arguments	Description
`rail-12306 get-current-date`	`{}`	获取当前日期，以上海时区（Asia/Shanghai, UTC+8）为准，返回格式为 "yyyy-MM-dd"。主要用于解析用户提到的相对日期（如“明天”、“下周三”），提供准确的日期输入。
`rail-12306 get-stations-code-in-city`	`{city: str}`	通过中文城市名查询该城市所有火车站的名称及其对应的 `station_code`，结果是一个包含多个车站信息的列表。 — `city`: 中文城市名称，例如："北京", "上海"
`rail-12306 get-station-code-of-citys`	`{citys: str}`	通过中文城市名查询代表该城市的 `station_code`。 — `citys`: 要查询的城市，比如"北京"。若要查询多个城市，请用\	分割，比如"北京\	上海"。
`rail-12306 get-station-code-by-names`	`{stationNames: str}`	通过具体的中文车站名查询其 `station_code` 和车站名。 — `stationNames`: 具体的中文车站名称，例如："北京南", "上海虹桥"。若要查询多个站点，请用\	分割，比如"北京南\	上海虹桥"。
`rail-12306 get-station-by-telecode`	`{stationTelecode: str}`	通过车站的 `station_telecode` 查询车站的详细信息，包括名称、拼音、所属城市等。此接口主要用于在已知 `telecode` 的情况下获取更完整的车站数据，或用于特殊查询及调试目的。一般用户对话流程中较少直接触发。 — `stationTelecode`: 车站的 `station_telecode` (3位字母编码)
`rail-12306 get-tickets`	`{date: str, fromStation: str, toStation: str, trainFilterFlags?: str = "", earliestStartTime?: number = 0, latestStartTime?: number = 24, sortFlag?: str = "", sortReverse?: bool = false, limitedNum?: number = 0, format?: str = "text"}`	查询12306余票信息。 — `date`: 查询日期，格式为 "yyyy-MM-dd"。如果用户提供的是相对日期（如“明天”），请务必先调用 `get-current-date` 接口获取当前日期，并计算出目标日期。; `fromStation`: 出发地的中文名或站点的 `station_code`（可通过 `get-station-code-by-names` 或 `get-station-code-of-citys` 接口查询得到）; `toStation`: 到达地的中文名或站点的 `station_code`（可通过 `get-station-code-by-names` 或 `get-station-code-of-citys` 接口查询得到）; `trainFilterFlags`: 车次筛选条件，默认为空，即不筛选。支持多个标志同时筛选。例如用户说“高铁票”，则应使用 "G"。可选标志：[G(高铁/城际),D(动车),Z(直达特快),T(特快),K(快速),O(其他),F(复兴号),S(智能动车组)]; `earliestStartTime`: 最早出发时间（0-24），默认为0。; `latestStartTime`: 最迟出发时间（0-24），默认为24。; `sortFlag`: 排序方式，默认为空，即不排序。仅支持单一标识。可选标志：[startTime(出发时间从早到晚), arriveTime(抵达时间从早到晚), duration(历时从短到长)]; `sortReverse`: 是否逆向排序结果，默认为false。仅在设置了sortFlag时生效。; `limitedNum`: 返回的余票数量限制，默认为0，即不限制。; `format`: 返回结果格式，默认为text，建议使用text与csv。可选标志：[text, csv, json]
`rail-12306 get-interline-tickets`	`{date: str, fromStation: str, toStation: str, middleStation?: str = "", showWZ?: bool = false, trainFilterFlags?: str = "", earliestStartTime?: number = 0, latestStartTime?: number = 24, sortFlag?: str = "", sortReverse?: bool = false, limitedNum?: number = 10, format?: str = "text"}`	查询12306中转余票信息。尚且只支持查询前十条。 — `date`: 查询日期，格式为 "yyyy-MM-dd"。如果用户提供的是相对日期（如“明天”），请务必先调用 `get-current-date` 接口获取当前日期，并计算出目标日期。; `fromStation`: 出发地的中文名或站点的 `station_code`（可通过 `get-station-code-by-names` 或 `get-station-code-of-citys` 接口查询得到）; `toStation`: 到达地的中文名或站点的 `station_code`（可通过 `get-station-code-by-names` 或 `get-station-code-of-citys` 接口查询得到）; `middleStation`: 中转地的中文或站点的 `station_code`（可通过 `get-station-code-by-names` 或 `get-station-code-of-citys` 接口查询得到）。该参数可选。; `showWZ`: 是否显示无座车，默认不显示无座车。; `trainFilterFlags`: 车次筛选条件，默认为空。从以下标志中选取多个条件组合[G(高铁/城际),D(动车),Z(直达特快),T(特快),K(快速),O(其他),F(复兴号),S(智能动车组)]; `earliestStartTime`: 最早出发时间（0-24），默认为0。; `latestStartTime`: 最迟出发时间（0-24），默认为24。; `sortFlag`: 排序方式，默认为空，即不排序。仅支持单一标识。可选标志：[startTime(出发时间从早到晚), arriveTime(抵达时间从早到晚), duration(历时从短到长)]; `sortReverse`: 是否逆向排序结果，默认为false。仅在设置了sortFlag时生效。; `limitedNum`: 返回的中转余票数量限制，默认为10。; `format`: 返回结果格式，默认为text，建议使用text。可选标志：[text, json]
`rail-12306 get-train-route-stations`	`{trainCode: str, departDate: str, format?: str = "text"}`	查询特定列车车次在指定区间内的途径车站、到站时间、出发时间及停留时间等详细经停信息。当用户询问某趟具体列车的经停站时使用此接口。 — `trainCode`: 要查询的车次 `train_code`，例如"G1033"。; `departDate`: 列车出发的日期 (格式: yyyy-MM-dd)。如果用户提供的是相对日期，请务必先调用 `get-current-date` 解析。; `format`: 返回结果格式，默认为text，建议使用text。可选标志：[text, json]

git

Use git --help for Git operations on workspace repositories.

python3

Execute Python code directly under the agent workspace and return stdout and stderr. Code can be pasted into a .py file and run with python3.

Python cannot launch subprocesses or make direct network requests. Run the documented service commands directly in the shell. Use Python for local file processing and generating JSON arguments.

VFS passed: 4/5
MCP passed: 4/5
Fewer tokens with VFS: 4 of 5 models

Passes and mean tokens per run for each model, VFS vs MCP
Model	VFS	MCP	VFS Tokens	MCP Tokens	Token Reduction Rate
Claude Opus 5.5	1/1	1/1	45.6k	84.0k	46%
GPT-6.1 Sol	1/1	1/1	59.2k	82.7k	28%
GPT-5.6 Luna	1/1	1/1	185k	52.3k	−254%
Claude Haiku 5.5	1/1	1/1	576k	609k	5%
Gemini 3.8 Flash	0/1	0/1	4.32M	5.45M	21%