wiki_search_users
Search for wiki users to find and mention them in documents.
Instructions
搜索 Wiki 用户,用于 @提及功能。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Search for wiki users to find and mention them in documents.
搜索 Wiki 用户,用于 @提及功能。
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, and the description does not disclose any behavioral traits such as authentication, rate limits, result limits, or return format, leaving the agent uninformed about operational details.
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, efficient sentence that conveys the core purpose and usage context, but it is too terse to cover important details, trading conciseness for completeness.
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 tool with an output schema, the description is minimally adequate but lacks information about output structure or any constraints, leaving gaps despite the tool's simplicity.
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 has 0% description coverage for the single 'query' parameter. The description adds only that the tool searches users, which is redundant with the tool name, and does not elaborate on query format, syntax, or examples.
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 explicitly states 'Search Wiki users' and specifies the use case 'for @mention functionality', which clearly distinguishes it from sibling tools like wiki_search that search 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 provides a clear usage context (for @mentions), implying when to use this tool, but does not explicitly exclude alternatives or provide when-not-to-use guidance.
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/ispace-top/mcp-server-ispace-wiki'
If you have feedback or need assistance with the MCP directory API, please join our Discord server