version
versionRetrieve the current version information for the AI-Persona MCP server to verify service compatibility and track updates.
Instructions
获取当前MCP服务版本信息
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
versionRetrieve the current version information for the AI-Persona MCP server to verify service compatibility and track updates.
获取当前MCP服务版本信息
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 states the tool gets version information, implying a read-only operation, but doesn't disclose behavioral traits such as whether it requires authentication, has rate limits, returns structured data, or if it's idempotent. This is a significant gap for a tool with zero annotation coverage.
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: '获取当前MCP服务版本信息'. It is front-loaded with the core purpose, has zero waste, and is appropriately sized for a simple tool. Every word earns its place by directly stating what the tool does.
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 tool's low complexity (0 parameters, no output schema), the description is minimally complete. It states what the tool does but lacks context on usage, behavior, or output format. Without annotations or output schema, the agent must guess the return values and operational details, making it adequate but with clear gaps.
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 0 parameters, and schema description coverage is 100%, so there are no parameters to document. The description doesn't need to add parameter semantics, and it doesn't introduce any confusion. A baseline of 4 is appropriate as it avoids misdirection and aligns with the empty 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?
The description clearly states the purpose: '获取当前MCP服务版本信息' (Get current MCP service version information). It specifies the verb '获取' (get) and the resource 'MCP服务版本信息' (MCP service version information). However, it doesn't differentiate from siblings (interactive_persona, list_personas, summon_persona), which are unrelated to version checking, so it doesn't need sibling differentiation but doesn't explicitly state this distinction.
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 guidance on when to use this tool versus alternatives. It doesn't mention context, prerequisites, or exclusions. For example, it doesn't specify if this is for debugging, compatibility checks, or general info, leaving the agent to infer usage based on the purpose alone.
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/xiaobenyang-com/AI-Persona'
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