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lazylagom

context-compose

by lazylagom

start-context

Starts a task-specific context by reading a YAML configuration and combining prompts from referenced files to guide AI development.

Instructions

Start a new context for a task. Reads -context.yaml file from the assets directory. Combines prompts from all referenced files (personas, rules, mcps, actions) to provide context for AI development.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNameYesName of the context to start (e.g., feature, api, test)
projectRootYesThe directory of the project. Must be an absolute path.
enhancedPromptNoUse enhanced prompts with detailed guidelines instead of simple prompts
Behavior3/5

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

With no annotations, the description provides some behavioral detail (reads a YAML file, combines prompts) but lacks disclosure on side effects, permissions, or error handling.

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?

Two sentences efficiently convey purpose and process with no extraneous information.

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?

Description covers the core functionality and file processing, though it omits details about return values or error conditions. Acceptable given the tool's simplicity.

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?

Schema coverage is 100%, and the description adds context about the YAML file format and combination logic, enhancing understanding beyond parameter descriptions.

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?

Description clearly states the tool starts a new context, reads a YAML file, and combines prompts. It is specific but does not explicitly differentiate from sibling tools (init, validate-context).

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?

No guidance on when to use this tool versus siblings or alternatives. The description does not specify prerequisites or recommended scenarios.

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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