check
Validate your ProcessOn API key to confirm it is correctly configured and functional.
Instructions
查询用户当前配置apiKey,版本1.0.10
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Validate your ProcessOn API key to confirm it is correctly configured and functional.
查询用户当前配置apiKey,版本1.0.10
| 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 full burden. It mentions 'query' implying read-only, but lacks disclosure of behavioral traits like authentication requirements, error cases, or what happens if no apiKey is configured.
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 sentence with no wasted words. It is front-loaded and efficient.
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 description adequately covers the tool's purpose for a simple parameterless query. However, it omits return format and error scenarios, leaving minor gaps in 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?
There are zero parameters, so the description need not add meaning beyond schema. Schema coverage is 100%, meeting the baseline for this case.
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 it queries the user's current configured apiKey. The verb 'query' and resource 'apiKey' are specific, and it distinguishes from the sibling tool 'createProcessOnMind' which is for creation.
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 does not explicitly state when to use this tool versus alternatives. It only describes the action, leaving the agent to infer usage context from the tool name and sibling 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/liqi888/mcp-server-processon-node'
If you have feedback or need assistance with the MCP directory API, please join our Discord server