Skip to main content
Glama

ai_detect_environment

Identifies the active AI tool environment (Claude, VS Code Copilot, OpenCode, or unknown) to enable appropriate context management and bootstrap file generation.

Instructions

Detectar entorno actual (claude, vscode-copilot, opencode, unknown)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as side effects, required permissions, or idempotency. The only behavioral hint is that the tool detects the environment and returns one of the listed values, but deeper transparency is lacking.

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

Conciseness5/5

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

The description is extremely concise: a single phrase that conveys the tool's function. No wasted words, and the core information is front-loaded.

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 tool's simplicity (no parameters, no output schema, no annotations), the description is minimally adequate. It lists the possible environment values but does not explain the return format or error handling. For a straightforward detection tool, this may suffice, but there is room for more completeness.

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 tool has zero parameters, and the input schema coverage is 100% (vacuous). The description does not need to add parameter info, and the baseline score for 0 parameters is 4.

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: detecting the current environment, listing possible values (claude, vscode-copilot, opencode, unknown). This is a specific verb and resource, though it does not explicitly differentiate from sibling tools. However, no other sibling tool appears to perform environment detection, so the purpose is sufficiently clear.

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. There is no mention of prerequisites, context, or exclusions. The tool's purpose is implied to be informational, but explicit usage guidelines are absent.

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/dannybombastic/mcp-standard-ai'

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