verify_sensors_config
Validates the Sensors Analytics OpenAPI configuration to ensure proper setup and prevent data query errors.
Instructions
验证神策 OpenAPI 配置是否正确
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Validates the Sensors Analytics OpenAPI configuration to ensure proper setup and prevent data query errors.
验证神策 OpenAPI 配置是否正确
| 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 the full burden of disclosing behavior. It only states the purpose without indicating side effects, authentication requirements, or whether the tool is read-only. A verification tool likely makes a network call and returns a boolean or error, but this is not stated.
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 that conveys the core purpose without any extraneous information. It is appropriately sized for a tool with no parameters and no complex behavior.
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?
Despite the tool's simplicity, the description lacks important context. For a verification tool, the agent would benefit from knowing the output format (e.g., boolean, error message) or any conditions that might cause failure. Since there is no output schema, the description should hint at what the result looks like. Currently it does not.
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 input schema has no parameters (0 params), so the baseline is 4. The description does not need to add parameter info. It correctly omits parameter details since there are none.
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: verifying the correctness of the Sensors OpenAPI configuration. It uses a specific verb ('verify') and resource ('sensors config'), and it distinguishes from the sibling tool 'get_sensors_config', which retrieves the config. However, the description is in Chinese, which may limit clarity for non-Chinese agents.
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 does not mention any prerequisites, limitations, or conditions under which verification is appropriate. This leaves the agent without context for tool selection.
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/pein892/SensorsMCPServer'
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