check_siyuan_status
Verify the connection, authentication, notebook, and SQL availability of SiYuan Note to ensure the MCP server is operational.
Instructions
检查连接、鉴权、笔记本和 SQL 可用性
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Verify the connection, authentication, notebook, and SQL availability of SiYuan Note to ensure the MCP server is operational.
检查连接、鉴权、笔记本和 SQL 可用性
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate the tool is read-only and idempotent. The description adds specific context by listing the four aspects being checked (connection, auth, notebook, SQL), providing behavioral details beyond the annotations. No contradictions.
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 immediately conveys the tool's purpose. Every word is necessary, and it is front-loaded.
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?
While the description covers the checks performed, it lacks information about the output format or return value. For a health-check tool, knowing whether it returns a boolean, status codes, or details would be valuable. Annotations compensate for safety but not completeness.
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?
With zero parameters, the schema provides no meaning to add. The description correctly doesn't mention parameters. According to guidelines, baseline is 4 for 0 parameters.
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 checks connection, authentication, notebook, and SQL availability. This is a specific verb-resource combination that distinguishes this health-check tool from sibling tools like get_version or sql_query which focus on individual aspects.
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?
No explicit guidance on when to use this tool versus alternatives. The description does not mention prerequisites, typical use cases, or when not to use it. The name implies it's for health checks but lacks comparative context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/xgq18237/siyuan_mcp_server'
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