get_robot_model

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It does not disclose behavioral traits such as read-only nature, side effects, network requirements, or error conditions. A simple 'Reads the robot model' would improve transparency.

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 short (two lines), which is concise, but it sacrifices completeness. It could be expanded slightly without losing conciseness to cover key aspects like return value.

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 simplicity (one param, no output schema), the description is barely adequate. It does not explain what the return value represents (e.g., model string), nor does it mention error cases or potential delays.

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 schema has one parameter 'ip' with no description (coverage 0%). The description adds 'IP：机器人地址' (IP: robot address), which provides minimal context but lacks details on format (IPv4/IPv6), validation, or error handling.

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 action ('获取指定IP的机器人型号' = get robot model for specified IP) and the resource (robot model). It distinguishes from sibling tools which retrieve other types of data (e.g., joint positions, currents).

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 explicit when-to-use or when-not-to-use guidance. However, the purpose is self-explanatory for a simple getter; some implied usage context exists given the sibling tool list, but no exclusions or alternatives are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.