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React Native MCP Server

React Native MCP Server

by MrNitro360
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript

remediate_code

Automatically fixes React Native code issues with expert-level solutions. You can specify particular issues or let the tool auto-detect all problems.

Instructions

Automatically fix React Native code issues with expert-level solutions

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "code": "<code>"
    },
    "name": "remediate_code"
  }
}

Input Schema

NameRequiredDescriptionDefault
codeYesReact Native code to remediate
issuesNoSpecific issues to fix (if not provided, auto-detects all)
remediation_levelNoLevel of remediation to apply
preserve_formattingNoWhether to preserve original code formatting
add_commentsNoWhether to add explanatory comments to fixes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description fails to disclose key behaviors like whether the tool returns modified code or modifies in place, required permissions, or side effects. 'Expert-level' is vague and does not clarify the tool's operation.

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

Conciseness4/5

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

The description is a single concise sentence that conveys the core purpose without redundancy. While front-loaded, it could benefit from more detail without being 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 5 parameters, no output schema, and no annotations, the description is insufficient. It does not explain what the tool returns, how it operates, or how to interpret results, leaving the agent with significant ambiguity.

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 description coverage is 100%, so the baseline is 3. The description adds no additional meaning beyond the schema's parameter descriptions, which are already adequate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool fixes React Native code issues with expert solutions. It distinguishes from sibling analysis tools like analyze_codebase_comprehensive, which only identify issues. However, it lacks specificity about what types of issues are addressed and the scope of fixes.

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?

No guidance on when to use this tool vs alternatives such as analyze_codebase_comprehensive or refactor_component. Does not mention prerequisites, typical workflow, or when to avoid using it.

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

Deploy Server

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