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MrNitro360

React Native MCP Server

by MrNitro360

analyze_codebase_comprehensive

Analyze a React Native codebase for performance, security, code quality, refactoring, and upgrade opportunities. Generate targeted insights for improvement.

Instructions

Comprehensive React Native codebase analysis including performance, security, refactoring, and upgrades

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codebase_pathNoPath to React Native project root
analysis_typesNoTypes of analysis to perform
Behavior1/5

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 only lists analysis types but does not indicate whether the tool is read-only, if it modifies the codebase, what side effects exist, or how long execution might take.

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

Conciseness3/5

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

The description is a single sentence, which is concise but lacks structure. It is front-loaded with the tool's purpose, but subsequent details are missing. It earns its place but could be more informative without becoming verbose.

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's broad scope and lack of output schema or annotations, the description is incomplete. It does not explain what the analysis produces (e.g., a report), how to interpret results, or any prerequisites like project initialization. For a 'comprehensive' tool, more context is needed.

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?

Schema coverage is 100%, so the schema already documents both parameters adequately. The description adds little beyond the schema, only listing example analysis types which are already in the enum. Thus, it meets the baseline but does not enhance understanding.

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 the verb 'analyze' and the resource 'codebase' with a comprehensive scope, listing specific areas like performance, security, refactoring, and upgrades. This distinguishes it from more specific sibling tools such as 'analyze_codebase_performance'.

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

Usage Guidelines2/5

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

The description lacks any guidance on when to use this comprehensive analysis versus the more targeted sibling tools. It does not mention prerequisites, when not to use it, or alternatives.

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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