generate-ai-template

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

No annotations are provided, so the description alone must convey behavioral traits. It mentions 'generates configuration files' (a write operation), but does not disclose whether files are written to disk, if existing files are overwritten, or any side effects. The schema notes that outputDir is optional and content is returned if omitted, but this isn't in the description.

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 concise and front-loaded, with a clear action and purpose in the first sentence. The second sentence adds value by explaining the output's benefits without unnecessary filler.

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?

The description covers the tool's purpose and value well, and the parameter descriptions fill in details about optionality and return behavior. However, the main description alone doesn't explain how output is delivered (file system vs content), relying on the schema for that. Given the parameter richness and no output schema, it's mostly complete but could be slightly more self-contained.

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%, with each parameter already well-described (e.g., framework, outputDir, generateAll). The description adds high-level context about templates but doesn't enhance the semantic meaning of individual parameters beyond what the schema provides.

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 function: generating configuration files for AI coding assistants. It lists specific frameworks (Cursor, Windsurf, Claude Code, etc.) and explains the benefit (React Native best practices, API validation, project context), effectively distinguishing it from sibling tools like generate-component-scaffold.

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 for setting up AI assistant configs in React Native projects, but it doesn't explicitly compare with alternatives or state when not to use it. It provides context but lacks direct selection guidance.

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