vision_health
Check visual backend configuration and connectivity to confirm vision tools are operational.
Instructions
检查视觉后端配置与连通性。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check visual backend configuration and connectivity to confirm vision tools are operational.
检查视觉后端配置与连通性。
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It conveys the core behavior (checking config and connectivity), and the verb 'check' implies a read-only operation. However, it does not explicitly state whether it modifies anything, what it returns, or any side effects, leaving some ambiguity.
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 short sentence that directly conveys the purpose without any wasted words. It is perfectly concise for a tool with no parameters.
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?
Although the tool is simple with no parameters, there is no output schema to explain return values. The description does not clarify whether the health check returns a boolean, status details, or an error, making it somewhat incomplete for an agent that needs to interpret results.
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 baseline is 4. The description does not need to explain parameter details, and the empty schema covers all parameters trivially.
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 visual backend configuration and connectivity, using a specific verb ('check') and resource. It distinguishes itself from sibling vision tools (e.g., OCR, image description) by focusing on health/status rather than image processing.
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 guidance is given on when to use this tool versus alternatives. It does not state that it should be called before other vision tools to verify backend availability, nor does it mention any exclusions or alternative tools for similar health checks.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/zouyuanqing/vision-primitives-mcp'
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