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happy_list_environment_sets

Lists available environment variable presets for configuring new AI coding sessions in Happy Server MCP.

Instructions

List available environment variable presets. These can be used when starting new sessions with happy_start_session.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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 implies this is a read-only operation by using 'List,' but does not disclose behavioral traits like whether it requires authentication, has rate limits, or returns paginated results. The description adds some context about the presets' purpose but lacks detailed behavioral disclosure.

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 a single, efficient sentence that is front-loaded with the tool's purpose and includes additional context without waste. Every part of the sentence earns its place by clarifying the tool's function and usage.

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

Completeness4/5

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

Given the tool's low complexity (0 parameters, no output schema, no annotations), the description is reasonably complete. It explains what the tool does and how its output is used, but could be more complete by detailing return format or behavioral aspects, though this is less critical for a simple list tool.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description adds value by explaining the semantics of the output (environment variable presets) and their use case, which compensates for the lack of an output schema, going beyond what the schema provides.

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 the verb ('List') and resource ('available environment variable presets'), specifying what the tool does. It distinguishes from siblings by focusing on environment presets rather than sessions, machines, or other resources, making its purpose 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.

Usage Guidelines4/5

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

The description provides clear context by explaining that the presets 'can be used when starting new sessions with happy_start_session,' indicating when this tool is relevant. However, it does not explicitly state when not to use it or name alternatives, such as whether to use happy_list_sessions for session details instead.

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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