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github_create_environment

Creates a new environment in a GitHub repository via the Lightbulb platform connector, enabling environment-specific configuration and deployments.

Instructions

Github connector operation create_environment (platform tool github.create_environment).

Routes through /api/tools/invoke under your JWT, tenant, and company scope.

Args: arguments: JSON string of arguments for the connector operation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argumentsNo{}

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, and the description does not disclose behavioral traits such as destructive potential, required permissions, rate limits, or side effects. The only behavioral detail is routing through an API endpoint, which is infrastructure-level and not action-relevant.

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

Conciseness3/5

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

The description is concise (few sentences) but not front-loaded with essential information. It begins with routing details rather than a clear purpose statement. While short, it could be restructured to prioritize action and usage context.

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

Completeness2/5

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

Given the tool's simplicity (one parameter, zero required), the description should still explain what the tool accomplishes in GitHub (e.g., 'Creates a new deployment environment in a repository'). The output schema exists but doesn't negate the need for contextual completeness. The agent lacks information about preconditions, effect, and how the arguments parameter should be constructed.

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

Parameters2/5

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

The single parameter 'arguments' is described as a 'JSON string of arguments for the connector operation,' which adds minimal meaning beyond the schema's string type. The schema has 0% description coverage, and the description does not explain expected keys, format, or examples, leaving the agent without sufficient guidance to construct valid input.

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

Purpose3/5

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

The description states 'create_environment' as a GitHub connector operation, clearly indicating the verb and resource. However, it does not elaborate on what creating an environment means in GitHub context (e.g., deployment environments). The name alone distinguishes it from sibling tools like github_list_environments, but the description adds no additional clarity.

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 such as github_list_environments or github_create_deployment_status. There is no mention of prerequisites, context, or when it is appropriate to invoke this tool.

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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