Wilma MCP Server
Wilma MCP 服务器
一个用于 Wilma(Visma 旗下的芬兰学校通信平台)的 MCP(模型上下文协议) 服务器。它允许 Claude 和其他兼容 MCP 的 AI 助手与学校数据进行交互,包括课程表、消息等。
功能
课程表 - 查看每日或每周的课程安排,包括科目、时间和教师
消息 - 阅读收件箱消息,显示已读/未读状态,查看完整内容,标记为已读
收件人 - 列出可用的消息收件人(教师、工作人员)
发送消息 - 编写并发送消息给教师
Related MCP server: Dnevnik.ru MCP Server
前提条件
Python 3.11 或更高版本
一个 Wilma 账户(学生、家长或教师)
您学校的 Wilma 网址(例如
https://yourschool.inschool.fi)
安装
# Clone the repository
git clone https://github.com/jessemc98/wilma-mcp.git
cd wilma-mcp
# Create virtual environment
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install the package
pip install -e .配置
创建一个包含您的 Wilma 凭据的 .env 文件:
cp .env.example .env编辑 .env:
WILMA_BASE_URL=https://yourschool.inschool.fi
WILMA_USERNAME=your_username
WILMA_PASSWORD=your_password安全提示:切勿将您的
.env文件提交到版本控制。
与 OpenClaw 一起使用
如果您使用 OpenClaw,该项目包含一个 SKILL.md 文件,可自动教会您的代理如何使用 Wilma MCP 工具。
{
"mcpServers": {
"wilma": {
"command": "/path/to/wilma-mcp/venv/bin/python",
"args": ["-m", "wilma_mcp.server"],
"cwd": "/path/to/wilma-mcp"
}
}
}将
SKILL.md放置或符号链接到您的 OpenClaw 技能目录中,以便代理能够发现它。
与 Claude Desktop 一起使用
将服务器添加到您的 Claude Desktop 配置文件中:
macOS:~/Library/Application Support/Claude/claude_desktop_config.json
Windows:%APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"wilma": {
"command": "/path/to/wilma-mcp/venv/bin/python",
"args": ["-m", "wilma_mcp.server"],
"cwd": "/path/to/wilma-mcp"
}
}
}更新配置后重新启动 Claude Desktop。
可用工具
get_schedule
获取指定日期的学校课程表。
参数:
date_str(可选):要获取课程表的日期。默认为“今天”。支持:“today”、“tomorrow”、“yesterday”
星期名称:“monday”、“tuesday”等(英文或芬兰文)
日期格式:“2024-03-15”、“15.3.2024”
示例:“我周一的课程表是什么?”
get_week_schedule
获取一整周的课程表。
参数:
start_date(可选):周的起始日期。默认为今天。
示例:“显示我下周的课程表”
get_messages
从收件箱获取消息列表。每条消息显示已读/未读指示器(📖 已读,📬 未读)。
参数:
folder(可选):文件夹名称 - “inbox”、“sent”、“archive”或“drafts”。默认为“inbox”。limit(可选):返回的最大消息数。默认为 20。
对于“sent”和“drafts”,列表显示的是收件人(“To:”)而不是发件人。
示例:“查看我的消息”/“显示我发送的消息”
get_message
读取特定消息的完整内容。注意:查看消息会自动在 Wilma 服务器上将其标记为已读。
参数:
message_id:要读取的消息的 ID。
示例:“读取消息 12345”
set_message_read
显式地将消息标记为已读。适用于在不阅读完整内容的情况下标记消息为已读。Wilma 不支持将消息标记为未读——这是平台限制。
参数:
message_id:要标记为已读的消息的 ID。
示例:“将消息 12345 标记为已读”
get_recipients
获取可用的消息收件人列表(教师、工作人员、家长)。
参数:
query(可选):不区分大小写的名称过滤器(例如教师的姓氏)。由于学校的完整收件人列表可能很长,此功能很方便。
每个返回的收件人都有一个 id 字符串(例如 r_guardian=11876_2893&n_class=33),您可以直接将其传递给 send_message。
示例:“我可以给谁发送消息?”/“查找 Smith 先生的收件人”
send_message
向任何收件人(教师、工作人员或家长)发送新消息。
参数:
recipient:发送给谁——可以是人的姓名(例如"Galiana Fatima",会自动根据收件人列表解析)或来自get_recipients的收件人 id(例如"r_guardian=11876_2893&n_class=33")。要发送给多人,请用&连接他们的 id。subject:消息主题body:消息正文/内容
如果姓名匹配多人,工具会返回匹配列表,以便您选择特定的 id(不会猜测)。
示例:“给 Smith 先生发送一条关于作业的消息”
要回复现有消息,请改用
reply_to_message——它会自动从原始消息中解析收件人。
reply_to_message
回复现有消息。这是首选的回复方式,因为它通过 Wilma 的回复表单自动处理收件人解析,无需查找收件人 ID。
参数:
message_id:要回复的消息的 ID(来自get_messages)body:回复消息正文/内容
示例:“回复消息 12345,说我会参加”
对话示例
配置完成后,您可以向 Claude 提问:
“我今天有什么课程?”
“我周五有课吗?”
“显示我的未读消息”
“阅读我老师发来的消息”
“明天几点开始上课?”
技术说明
Wilma 没有官方的公共 API。该服务器对 Web 界面进行了逆向工程。
身份验证使用通过登录流程获得的会话 cookie。
课程表数据从课程表页面中的嵌入式 JavaScript 中提取。
消息列表使用每个文件夹的 JSON 端点(收件箱使用
/messages/list,已发送使用/messages/list/outbox,归档使用/messages/list/archive,草稿使用/messages/list/drafts);单个消息需要 HTML 解析。已读/未读跟踪:Wilma 的 JSON API 为每条消息包含一个
Status字段——真值表示未读,假值/缺失表示已读。查看消息(GET 请求)会在服务器端将其标记为已读。没有 API 可以将消息标记为未读。发送消息:Wilma 不会将收件人暴露为
<option>元素。收件人选择器(/messages/recipients)将每个可联系的人嵌入为.recipient-block,其data-source链接编码了一个形式为r_<type>=<id>的选择器(例如r_guardian、r_personnel、r_ownteachers)。为了编写消息,服务器 GET 请求/messages/compose?<selector>(返回带有新formkey的表单,并且收件人已作为隐藏的r_<type>输入预先添加),填写Subject和BodyText字段,然后使用addsavebtn“发送”按钮进行 POST。这就是为什么新消息现在可以工作,而不仅仅是回复。如果 Wilma 的 Web 界面发生变化,服务器可能需要更新。
开发
# Install with dev dependencies
pip install -e ".[dev]"
# Run tests
pytest未来功能(计划中)
成绩和评估
缺勤/出勤记录
即将到来的考试
学校新闻/公告
课程列表
许可证
MIT 许可证 - 请参阅 LICENSE 文件。
免责声明
这是一个非官方项目,与 Visma 无关或未经其认可。使用风险自负。请尊重 Wilma 的服务条款和速率限制。
贡献
欢迎贡献!请随时提交拉取请求。
Available Tools
8 toolsget_messageA
Read a specific message with full content.
| Name | Required | Description | Default |
|---|---|---|---|
| message_id | Yes | The ID of the message to read. |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must convey behavioral traits. 'Read' implies a non-destructive operation, and 'full content' indicates the return value. However, it does not clarify whether reading affects read status (despite a sibling 'set_message_read'), nor does it mention error handling or authentication requirements. The description provides basic transparency but lacks depth.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one concise sentence, front-loaded with the action and resource, with no superfluous words. It efficiently communicates the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and an existing output schema, the description is sufficiently complete. It clarifies the scope ('specific message') and the nature of the result ('full content'), which is adequate for an AI agent to understand when and how to use it.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema describes the single parameter 'message_id' with full coverage. The description adds no extra meaning beyond the schema, just reiterating 'specific message' which corresponds to the parameter. With 100% schema coverage, the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: reading a specific message with full content. It uses a specific verb ('read') and resource ('specific message'), and effectively distinguishes from the sibling tool 'get_messages' by emphasizing singularity ('specific') and completeness ('full content').
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context by saying 'specific message' which contrasts with 'get_messages', but it does not explicitly state when to use this tool over alternatives, nor does it mention any exclusions or prerequisites. The guidance is implied rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_messagesA
Get list of messages from a folder.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of messages to return (default 20) | |
| folder | No | Folder to read from. Options: "inbox", "sent", "archive" | inbox |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. 'Get list' clearly signals a read-only operation, but it does not disclose ordering, pagination behavior, folder validation, or whether full message content is returned. It is adequate but thin.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no wasted words. Every word contributes to the core purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple: two fully described parameters and an output schema exist. The description provides the minimal core behavior, and the schema covers parameter details. It does not mention alternatives, but that gap is already captured in usage guidelines.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema covers 100% of the parameters. The description's phrase 'from a folder' echoes the schema's folder parameter without adding deeper meaning about limit behavior or folder selection semantics.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Get') and resource ('list of messages') with a clear scope ('from a folder'). The plural 'list' distinguishes it from the sibling tool 'get_message'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives like get_message, send_message, or set_message_read. It does not mention exclusions or conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_recipientsA
Get list of available message recipients (teachers, staff).
Returns: List of recipients with their IDs and roles.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It clearly indicates a read-only list operation via 'Get list' and discloses the return format ('List of recipients with their IDs and roles'). The qualifier 'available' adds useful scope. It does not mention permissions or rate limits, but for a simple getter this is acceptable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two concise sentences, front-loaded with the main purpose and immediately followed by the return format. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no parameters and a simple return structure, the description is complete. It explicitly mentions the fields returned (IDs and roles) and qualifies the recipients as 'available'. No significant gaps exist.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the input schema is fully self-explanatory. The description adds no parameter semantics, but none are needed. The baseline for no parameters is 4.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'Get list of available message recipients (teachers, staff)'. It uses a specific verb ('Get') and a specific resource ('recipients'), and the scope is clarified with the parenthetical. This distinguishes it from sibling tools like get_messages or send_message.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage in the context of messaging by referring to 'message recipients', but it does not explicitly state when to use this tool versus alternatives, nor does it mention any exclusions. Sibling tool names suggest its role among messaging tools, but direct guidance is missing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_scheduleA
Get the school schedule for a specific date.
| Name | Required | Description | Default |
|---|---|---|---|
| date_str | No | Date to get schedule for. Supports: - "today", "tomorrow", "yesterday" - Weekday names: "monday", "tuesday", etc. - Date formats: "2024-03-15", "15.3.2024", "15.3." | today |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. 'Get' implies a read operation, but it does not disclose behavior for invalid dates, timezone handling, or other edge cases. The description is adequate but lacks deeper behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no superfluous words. Every word carries meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter read tool with an output schema and clear schema documentation, the description is nearly complete. It lacks explicit sibling differentiation, but the 'specific date' phrasing sufficiently covers the main use case.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with a detailed description of the single parameter including supported formats and default. The tool description adds no further parameter information, hitting the baseline for high schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Get' and the resource 'school schedule' for a 'specific date', which distinguishes it from the sibling tool get_week_schedule. It is concise and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'specific date' implies this is for a single day, implicitly contrasting with get_week_schedule. However, it does not explicitly state when to use this tool over alternatives or mention any exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_week_scheduleA
Get the school schedule for a full week.
| Name | Required | Description | Default |
|---|---|---|---|
| start_date | No | Start date of the week. Defaults to today. | today |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only says 'Get the school schedule' without stating that it is read-only, any authentication requirements, or how the week is calculated. This leaves important behavioral context unaddressed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that front-loads the main action and resource. There is no unnecessary information or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has low complexity with one well-documented parameter and an output schema, so the description does not need to explain return values. However, it could be slightly more explicit about the exact definition of 'full week' (e.g., starting day, inclusion of weekends), which keeps it from a perfect score.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already provides 100% coverage for the single parameter 'start_date' with a clear description. The tool description adds no additional parameter meaning beyond what is in the schema, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: 'Get the school schedule for a full week.' It uses a specific verb ('get'), a resource ('school schedule'), and a clear scope ('full week'), which distinguishes it from the sibling tool 'get_schedule' that likely handles a different time range.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives clear context that this tool is for a full week schedule, implying it is appropriate when the user needs a weekly view. However, it does not explicitly mention alternatives or when not to use this tool, so it stops short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
reply_to_messageA
Reply to a message. This is the preferred way to reply to messages since it handles recipient resolution automatically via Wilma's reply form, without needing to look up recipient IDs separately.
| Name | Required | Description | Default |
|---|---|---|---|
| body | Yes | Reply message body/content | |
| message_id | Yes | ID of the message to reply to (from get_messages) |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the automatic recipient resolution behavior but does not disclose side effects, permissions, or whether sending the reply affects read state. For a mutation tool, this lack of detail is a gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences with no waste. The opening phrase clearly states the action, and the second sentence provides meaningful context about the tool's advantage.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with two params and an output schema, the description is fairly complete. It explains the core behavior and key benefit. It could note potential side effects like marking the original message as read, but overall it is sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents both parameters fully. The description adds no extra parameter semantics beyond the schema, making the baseline 3 appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Reply to a message' with a specific verb and resource. It also distinguishes itself from sibling tools like send_message and get_recipients by emphasizing automatic recipient resolution via Wilma's reply form.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says this is the 'preferred way to reply' and explains why (automated recipient resolution). It implies when to use this tool over alternatives, though it does not explicitly state when not to use it or name alternative tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
send_messageC
Send a message to a teacher or staff member.
| Name | Required | Description | Default |
|---|---|---|---|
| body | Yes | Message body/content | |
| subject | Yes | Message subject | |
| reply_to_id | No | Optional message ID if this is a reply | |
| recipient_id | Yes | ID of the recipient (use get_recipients to find IDs) |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must fully disclose behavioral traits. It says only 'Send a message' with no information about side effects, permission requirements, delivery guarantees, error behavior, or any constraints. This is a complete lack of behavioral transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with no filler. It is appropriately concise for a simple tool and effectively front-loaded with the verb. Every word serves a purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the presence of closely related sibling tools ('reply_to_message', 'get_recipients') and the schema, the description is too sparse to provide a complete picture. It lacks usage context and behavioral details, though the output schema does cover return value expectations, slightly reducing the burden.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all parameters. The description adds no additional parameter context beyond the schema, keeping it at the baseline score. It does not clarify how 'reply_to_id' might relate to the sibling 'reply_to_message' tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb 'Send' with a clear resource 'message' and an audience ('a teacher or staff member'), making the basic purpose apparent. However, it does not explicitly distinguish from the sibling tool 'reply_to_message', which could also be seen as sending a message, so full sibling differentiation is missing.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no explicit guidance on when to use this tool versus alternatives like 'reply_to_message'. It only states the action without contextual cues about when this is the appropriate choice, leaving the agent to infer usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
set_message_readA
Mark a message as read.
Wilma automatically marks messages as read when viewed. This tool explicitly triggers that by viewing the message. Note: Wilma does not support marking messages as unread.
| Name | Required | Description | Default |
|---|---|---|---|
| message_id | Yes | The ID of the message to mark as read. |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the burden. It discloses that the tool works by viewing the message, which is a mechanism detail. Critically, it states that unread is not supported — a significant behavioral limitation. It doesn't mention potential side effects (e.g., idempotency, permissions), but for a simple mutation this is adequate.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise: two sentences plus a note. Every sentence has purpose — the first states the action, the second explains the mechanism, and the note addresses a key limitation. The structure front-loads the purpose immediately.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with a single parameter, an output schema, and a clear description, this is complete. It covers the action, the mechanism, and the unread limitation. No additional context is needed for an AI agent to select and invoke this tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the baseline is 3. The description adds no extra parameter details beyond what the schema already provides (message_id). It doesn't explain IDs, formats, or how they relate to the viewing action, but that's unnecessary given the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description uses a specific verb+resource construction: "Mark a message as read." It clearly distinguishes itself from sibling tools like get_message and get_messages by emphasizing that it explicitly triggers the read state rather than simply retrieving content. The distinction is meaningful because Wilma auto-marks messages as read when viewed.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clarifies when to use the tool: to explicitly trigger a read state without needing to read the message content. It also notes that Wilma does not support unread, which is an exclusion. However, it doesn't explicitly name alternatives (e.g., get_message) or explain why you'd choose this over them, so guidance is implied rather than fully explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
8 tool updates
v0.1.0- First observed
get_message - First observed
get_messages - First observed
get_recipients - First observed
get_schedule - First observed
get_week_schedule - First observed
reply_to_message - First observed
send_message - First observed
set_message_read
TDQS
Scored across 8 tools
Most tools are clearly distinct: schedule vs message tools, single vs list retrieval. However, get_message and set_message_read overlap since viewing a message marks it as read, potentially confusing agents. send_message and reply_to_message are also somewhat related but the reply tool has a clear differentiator.
Tool names follow a consistent verb_noun pattern with clear prefixes: get_ for read operations, set_ for state change, send_ and reply_ for message creation. All names are lowercase with underscores and readable.
8 tools is an appropriate size for a school communication platform covering schedules and messaging. Each tool earns its place, and the count is within the typical 3-15 range without feeling bloated or sparse.
The messaging domain covers core operations: list, get, send, reply, mark read, and recipient lookup. Schedule domain provides get by day and week. Minor gaps exist like message deletion or archiving, but these are not essential for the stated purpose.
Maintenance
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