Skip to main content
Glama

open_bluemouse_ui

Launch the BlueMouse UI in your browser to validate code logic using a 180k+ failure pattern database, preventing hallucinations and unsafe operations before execution.

Instructions

啟動藍圖小老鼠 UI

在瀏覽器中打開藍圖小老鼠的用戶界面,開始使用者旅程。

Args: api_key: 可選的 API Key(BYOK模式) mode: 啟動模式 ("landing" | "workspace")

Returns: UI 啟動狀態和 URL

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
modeNolanding

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 of behavioral disclosure. It states the tool opens a UI in a browser and returns a status and URL, but it doesn't mention critical behavioral traits such as whether this requires authentication, if it's a read-only operation, potential side effects (e.g., launching a browser session), or any rate limits. For a tool that likely initiates a user interface, this is a significant gap in transparency.

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 appropriately sized and front-loaded, with a clear purpose statement followed by brief parameter and return value sections. Each sentence adds value without redundancy. However, the structure could be improved by integrating usage guidelines or behavioral details more seamlessly, but it remains efficient overall.

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?

Given the complexity (a UI-launching tool with 2 parameters and no annotations), the description is moderately complete. It explains the purpose, parameters, and returns, and an output schema exists, so return values don't need elaboration. However, it lacks behavioral context and usage guidelines, making it incomplete for safe and effective tool invocation by an AI agent.

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

Parameters3/5

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

The description adds minimal semantics beyond the input schema. It briefly mentions that 'api_key' is optional for BYOK mode and 'mode' has values 'landing' or 'workspace', but with 0% schema description coverage, the schema itself lacks descriptions. The description compensates slightly by explaining the purpose of parameters, but it doesn't provide detailed usage examples, constraints, or default behaviors, leaving room for ambiguity.

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

Purpose4/5

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

The description clearly states the tool's purpose: '在瀏覽器中打開藍圖小老鼠的用戶界面,開始使用者旅程' (open the Blue Mouse UI in a browser to start the user journey). It specifies the verb ('打開' - open) and resource ('藍圖小老鼠的用戶界面' - Blue Mouse UI), making it clear what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'check_bluemouse_environment' or 'deliver_bluemouse_project', which might have overlapping contexts but different functions.

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 provides no guidance on when to use this tool versus alternatives. It mentions starting the user journey but doesn't specify prerequisites (e.g., whether the environment must be checked first using 'check_bluemouse_environment'), exclusions, or comparisons to other UI-related tools. This lack of context leaves the agent without clear usage instructions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/peijun1700/bluemouse'

If you have feedback or need assistance with the MCP directory API, please join our Discord server