React Native MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool analyzes for best practices but doesn't explain what that entails (e.g., what criteria are used, whether it's read-only or makes changes, if it requires specific permissions, or what the output looks like). For a tool with no annotations, this leaves significant behavioral gaps.

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 a single, clear sentence that efficiently communicates the core purpose without unnecessary words. It's appropriately sized and front-loaded, with every word earning its place.

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 (analyzing code with 3 parameters) and the lack of annotations and output schema, the description is somewhat incomplete. It states the purpose but doesn't cover behavioral aspects or output expectations. However, the high schema coverage helps compensate, making it minimally adequate but with clear gaps.

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 description doesn't mention any parameters, but schema description coverage is 100%, meaning all three parameters are well-documented in the schema itself. The description adds no parameter-specific information beyond what's in the schema, so it meets the baseline score when schema coverage is high.

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: analyzing React Native components for best practices. It specifies both the resource (React Native component) and the action (analyze for best practices). However, it doesn't explicitly differentiate from sibling tools like 'refactor_component' or 'optimize_performance' which might also involve component analysis, so it doesn't reach the highest score.

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 provides no guidance on when to use this tool versus alternatives. With multiple sibling tools like 'analyze_codebase_comprehensive' and 'refactor_component' that might overlap in scope, there's no indication of when this specific component analysis tool is preferred. The description only states what it does, not when to use it.

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