ralph-wiggum-mcp

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes the tool's behavior as a read-only status retrieval with detailed progress insights (e.g., stagnation detection, estimated iterations), covering output content comprehensively. It doesn't mention performance aspects like rate limits or authentication needs, but for a status tool, the disclosed behavior is sufficient.

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

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

The description is front-loaded with the core purpose in the first sentence, followed by a bulleted list that efficiently details the specific insights provided. Every bullet point adds value by clarifying the output content, with no redundant or verbose language, making it highly scannable and informative.

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

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

Given the tool's complexity (monitoring loops with progress analysis) and lack of output schema, the description provides strong completeness by detailing all returned insights in the bullet list. It covers functional aspects well but doesn't address non-functional details like error handling or performance, which is a minor gap for a status tool without annotations.

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

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 appropriately adds no parameter information, focusing instead on the output insights. This aligns with the baseline expectation for zero-parameter tools, where the description should explain what the tool returns rather than inputs.

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

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

The description clearly states the specific verb 'Get' and resource 'current status of the Ralph loop with progress insights', distinguishing it from siblings like ralph_cancel (termination), ralph_iterate (execution), and ralph_history (past data). It goes beyond a simple status check by specifying the comprehensive insights provided.

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

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

The description implies usage context by listing what it shows (e.g., active loop status, progress analysis), suggesting it's for monitoring ongoing loops. However, it lacks explicit guidance on when to use this versus alternatives like ralph_history (which might show past loops) or ralph_git_status (which focuses on git state), and doesn't mention prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.