connect_ur
Connects to a Universal Robot using a provided IP address to enable control and interaction via the MCP server.
Instructions
根据用户提供的IP连接UR IP:机器人地址
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes |
Connects to a Universal Robot using a provided IP address to enable control and interaction via the MCP server.
根据用户提供的IP连接UR 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?
With no annotations, the description must disclose behavioral traits. It does not describe what happens upon connection (e.g., authentication, state changes, side effects). The description is insufficient for safe usage.
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, which could be considered concise, but it omits essential information. It sacrifices completeness for brevity, scoring average.
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 no output schema and no annotations, the description should provide more context about connection outcomes, error handling, or post-connection state. It is incomplete for a tool with one parameter.
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 0% description coverage for the 'ip' parameter. The description adds minimal semantics ('IP: robot address') but lacks format, validation, or examples. It partially compensates but is inadequate.
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 (connect) and the resource (UR robot) and distinguishes it from the sibling tool 'disconnect_ur'. It is specific and unambiguous.
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 guidance is provided on when to use this tool, prerequisites, or when it should not be used. The description does not help differentiate usage contexts among siblings beyond basic action.
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/nonead/nUR_MCP_SERVER'
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