get_robot_model
Retrieves the robot model for a specified IP address to enable configuration-appropriate control commands.
Instructions
获取指定IP的机器人型号 IP:机器人地址
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes |
Retrieves the robot model for a specified IP address to enable configuration-appropriate control commands.
获取指定IP的机器人型号 IP:机器人地址
| Name | Required | Description | Default |
|---|---|---|---|
| ip | 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 whether it is a read-only operation, error handling, or potential side effects. The agent is left to infer behavior.
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 very concise, conveying the core purpose in two short sentences. It is front-loaded but could benefit from more structured information.
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 lack of schema descriptions and output schema, the description is incomplete. It does not explain what the model output looks like, error scenarios, or any additional context needed for correct invocation.
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?
With 0% schema description coverage, the description must compensate. It only mentions that IP is the robot address, which adds minimal meaning. No format, constraints, or examples are given.
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 retrieves a robot model given an IP address. The verb 'get' and resource 'robot model' are specific. However, it does not distinguish itself from sibling tools like 'get_robot_mode' or 'get_serial_number'.
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 simply describes what it does without context about prerequisites or scenarios.
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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