React Native Expo MCP

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audit_packages

Audit React Native project dependencies for vulnerabilities, filter by severity threshold, and get fix recommendations. Supports npm, yarn, and pnpm.

Instructions

Perform security audit on project dependencies and provide fix recommendations

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "audit_packages"
  }
}

Input Schema

Name	Required	Description
`project_path`	No	Path to React Native project root
`package_manager`	No	Package manager to use
`auto_fix`	No	Whether to automatically fix vulnerabilities
`severity_threshold`	No	Minimum severity level to report

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.0.1May 29, 2026

TDQS

A3.6/5.0

Behavior2/5

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

No annotations are provided, so the description must bear full weight. It mentions 'fix recommendations' but does not disclose that the auto_fix parameter can modify files, nor does it explain the output format or side effects of running the audit.

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

Conciseness5/5

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

The description is a single sentence that efficiently conveys the tool's core function without unnecessary words. It is front-loaded and easy to scan.

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 absence of an output schema and the presence of a potentially destructive parameter (auto_fix), the description lacks details about return values, behavior when auto_fix is enabled, and minimum required setup (e.g., presence of a lock file). This leaves the agent with insufficient context for correct invocation.

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%, meaning all parameters are described in the schema. The description adds no further semantics beyond what's already provided in the parameter descriptions.

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 tool's purpose: performing security audits on project dependencies and providing fix recommendations. This distinguishes it from sibling tools like analyze_codebase_comprehensive or check_for_updates, which cover broader or different tasks.

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

Usage Guidelines4/5

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

The description implies when to use (security audit of dependencies) but does not explicitly state when not to use it or mention alternatives. While the context is clear, the lack of exclusionary guidance prevents a top score.

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