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sheldonrobinson

ralph-loop-mcp

ralph_loop_initialize

Starts a Ralph Loop session with a task, kicking off the worker/reviewer iterative loop for automated code development and review.

Instructions

Initialize a new Ralph Loop session with a task. Starts the iterative worker/reviewer cycle.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesThe task description for the Ralph Loop to work on
sessionIdNoUnique session identifier (optional, defaults to 'default')default
workerModelNoModel for the worker phase (e.g., 'claude-3-5-sonnet', 'gpt-4o')
maxIterationsNoMaximum number of iterations (default: 10)
reviewerModelNoModel for the reviewer phase (should be different from worker for cross-model review)
workerProviderNoProvider for the worker phase (e.g., 'anthropic', 'openai')
reviewerProviderNoProvider for the reviewer phase (e.g., 'anthropic', 'openai', 'google')
crossModelReviewEnforcedNoEnforce cross-model review (worker and reviewer must be different)
Behavior2/5

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

With no annotations, the description carries the full burden of disclosing behavioral traits. It does not mention side effects (e.g., overwriting an existing session with the same sessionId), resource usage, or any required permissions. The description is too sparse to inform the agent of potential impacts.

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 with two sentences. The first sentence immediately states the primary action, and the second adds context about the cycle. No unnecessary words or redundancy.

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 has 8 parameters, no output schema, and initiates a complex iterative process, the description is insufficient. It does not explain what the return value is, what triggers the next steps, or how the cycle works. The agent may not have enough context to use the tool correctly.

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

Parameters3/5

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

Since schema description coverage is 100%, the baseline is 3. The description does not add any additional meaning to the parameters beyond what the schema already provides. It does not explain the roles of workerModel vs reviewerModel or how they affect behavior.

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 that this tool initializes a new Ralph Loop session with a task and starts the iterative worker/reviewer cycle. It uses a specific verb (initialize) and resource (session), distinguishing it from sibling tools that manage or query existing sessions.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

The description implies this tool is for starting a new session but does not explicitly state when to use it versus alternatives like ralph_loop_submit_review or ralph_loop_get_status. No guidance on prerequisites or when not to use it.

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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