Schema | CRASH - Cascaded Reasoning with Adaptive Step Handling

Server Configuration

Describes the environment variables required to run the server.

Name	Required	Description	Default
`CRASH_NO_COLOR`	No	Disable colored output	false
`MAX_HISTORY_SIZE`	No	Maximum steps to retain	100
`CRASH_STRICT_MODE`	No	Enable legacy validation rules	false
`CRASH_OUTPUT_FORMAT`	No	Output display format	console

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

Name	Description
crashA	Record a structured reasoning step for complex problem-solving. Use this tool to break down multi-step problems into trackable reasoning steps. Each step captures your current thinking, expected outcome, and planned next action. WHEN TO USE: Multi-step analysis, debugging, or planning tasks Tasks requiring systematic exploration of options Problems where you need to track confidence or revise earlier thinking Exploring multiple solution paths via branching WORKFLOW: Start with step_number=1, estimate your total steps Describe your thought process, expected outcome, and next action Continue calling for each reasoning step, adjusting estimated_total as needed Use confidence (0-1) when uncertain about conclusions Use revises_step to correct earlier reasoning when you find errors Use branch_from to explore alternative approaches Set is_final_step=true when reasoning is complete Returns JSON summary with step count, completion status, and next action.

Name

Description

crashA

Record a structured reasoning step for complex problem-solving.

Use this tool to break down multi-step problems into trackable reasoning steps. Each step captures your current thinking, expected outcome, and planned next action.

WHEN TO USE:

Multi-step analysis, debugging, or planning tasks
Tasks requiring systematic exploration of options
Problems where you need to track confidence or revise earlier thinking
Exploring multiple solution paths via branching

WORKFLOW:

Start with step_number=1, estimate your total steps
Describe your thought process, expected outcome, and next action
Continue calling for each reasoning step, adjusting estimated_total as needed
Use confidence (0-1) when uncertain about conclusions
Use revises_step to correct earlier reasoning when you find errors
Use branch_from to explore alternative approaches
Set is_final_step=true when reasoning is complete

Returns JSON summary with step count, completion status, and next action.

Prompts

Interactive templates invoked by user choice

Name	Description
No prompts

Resources

Contextual data attached and managed by the client

Name	Description
No resources

CRASH - Cascaded Reasoning with Adaptive Step Handling

Server Configuration

Capabilities

Tools

Prompts

Resources

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