PromptArchitect MCP

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

With no annotations provided, the description carries full burden. It describes the transformation behavior and mentions template support, but lacks details about rate limits, authentication needs, error conditions, or what the output looks like. It provides basic behavioral context but could be more comprehensive.

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?

Well-structured with clear sections (purpose, usage scenarios, template support, important note). Front-loaded with core purpose. Could be slightly more concise by combining some bullet points, but overall efficient with minimal waste.

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?

For a 5-parameter tool with no annotations and no output schema, the description provides good purpose and usage guidance but lacks details about output format, error handling, and behavioral constraints. It's adequate but has clear gaps given the tool's complexity.

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?

Schema description coverage is 100%, so the schema already documents all 5 parameters thoroughly. The description mentions templates and workspace context, adding some semantic context, but doesn't provide significant additional parameter meaning beyond what's in the schema descriptions.

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 tool's purpose with specific verbs ('transform', 'generate') and resources ('raw idea', 'prompt'), distinguishing it from siblings like analyze_prompt and refine_prompt by focusing on creation from scratch rather than analysis or refinement.

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?

Explicitly provides when-to-use scenarios ('create from scratch', 'structure vague idea', 'generate role-specific prompts') and mentions workspace context as important when available, giving clear guidance on appropriate usage contexts.

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