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cfrs2005

GS Robot MCP Server

by cfrs2005

list_robots

Retrieve a paginated list of robots using the Gausium OpenAPI. Filter by relation to narrow results.

Instructions

Fetches the list of robots from the Gausium OpenAPI.

Based on: https://developer.gs-robot.com/zh_CN/Robot%20Information%20Service/List%20Robots

Args:
    page: The page number to retrieve (must be > 0).
    page_size: The number of items per page.
    relation: Optional relation type (e.g., 'contract').

Returns:
    A dictionary containing the robot list data from the API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
page_sizeNo
relationNo
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions 'fetches' but does not disclose behavioral traits like pagination limits, rate limits, auth requirements, or error handling. The return type is vaguely described as 'a dictionary containing the robot list data'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief and front-loaded with the main action. The Args/Returns structure is clear. However, the embedded URL may be extraneous for an AI agent; it could be more concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple listing tool with 0 required parameters, the description covers the basics. However, it lacks detail on the structure of the returned robot data, which would help the agent process results. Given the output schema absence, more completeness would be beneficial.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description adds meaning beyond the input schema by explaining each parameter: page must be >0, page_size is items per page, relation is optional with example 'contract'. Schema coverage is 0%, so this is valuable context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Fetches the list of robots from the Gausium OpenAPI', using a specific verb and resource. It distinguishes this tool from sibling tools like get_robot_status_smart or list_robot_maps by focusing on the robot list.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide explicit guidance on when to use this tool versus alternatives. It implies usage for fetching a paginated robot list but lacks exclusions or comparisons to sibling tools.

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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