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patrickkabwe

React Native MCP Server

by patrickkabwe

Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.0.0

  • Disambiguation5/5

    The two tools have completely distinct purposes with no overlap. get-react-native-diff provides detailed upgrade instructions between versions, while get-react-native-stable-version simply retrieves the latest stable version number. An agent would never confuse which tool to use for which task.

    Naming Consistency5/5

    Both tools follow the exact same naming pattern: get-react-native- followed by a descriptive noun (diff, stable-version). The kebab-case is consistent throughout, and the verb 'get' is used consistently for both retrieval operations.

    Tool Count2/5

    With only 2 tools, this server feels severely underpowered for a React Native upgrade domain. While the tools work together logically, there are obvious missing operations like applying the diff, checking current version, or handling specific platform configurations separately. The scope suggests more comprehensive tooling would be appropriate.

    Completeness2/5

    The server is severely incomplete for React Native upgrade workflows. While it provides version information and a diff, there's no tool to actually execute the upgrade steps described in the diff output. Agents would be left with detailed instructions but no automated way to implement them, creating a significant gap in the operational surface.

  • Average 4.3/5 across 2 of 2 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior4/5

    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 effectively describes key behaviors: the tool outputs a diff in 'standard git diff format,' requires careful analysis with specific steps (e.g., updating dependencies, preserving customizations), and includes troubleshooting instructions (e.g., deleting Pod files, running commands). However, it lacks details on error handling or rate limits, preventing a perfect score.

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

    Conciseness2/5

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

    The description is overly verbose and poorly structured. It mixes high-level purpose with detailed implementation steps and troubleshooting commands in a single block, making it hard to parse. Sentences like 'Please add the end of the process give instruction on the troubleshooting steps if any' are grammatically awkward and reduce clarity. It could be significantly streamlined for better readability.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness4/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool's complexity (version diffing with multiple configuration aspects) and lack of annotations or output schema, the description does a good job of covering essential context. It explains what the diff includes, how to use it, and post-processing steps. However, the absence of an output schema means the description should ideally detail the return format more explicitly, which is only partially addressed by mentioning 'standard git diff format.'

    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 schema already documents both parameters (fromVersion and toVersion). The description adds some context by explaining default behavior ('If no fromVersion is provided, the current version from package.json will be used'), but does not provide additional syntax or format details beyond what the schema offers. This meets the baseline for high schema coverage.

    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: 'Gets the React Native diff between the current version and the user provided version.' It specifies the verb 'gets' and resource 'React Native diff,' and distinguishes it from its sibling 'get-react-native-stable-version' by explicitly stating that tool must be called first. The detailed list of what the diff includes (package.json, iOS/Android configs, etc.) further clarifies scope.

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

    Usage Guidelines5/5

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

    The description provides explicit usage guidelines: it states 'YOU MUST call get-react-native-stable-version tool to get the stable version of React Native before calling this tool,' which directly addresses when to use this tool versus alternatives. It also specifies conditions like 'If no fromVersion is provided, the current version from package.json will be used,' offering clear context for parameter handling.

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

  • Behavior4/5

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

    With no annotations provided, the description carries the full burden. It discloses that the tool fetches from GitHub releases, returns semantic versioning format, excludes unstable versions, and that the output is production-ready. It doesn't mention error handling, rate limits, or authentication needs, but covers core behavioral aspects adequately.

    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 well-structured with clear paragraphs: purpose, version characteristics, usage context, and output usage. Every sentence adds value, though the final sentence about output usage could be slightly more concise by combining with the previous sentence about the sibling tool.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness4/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    For a zero-parameter tool with no output schema, the description provides good context: what it returns (stable version in semver format), where it comes from (GitHub releases), when to use it (before upgrades), and how it connects to the sibling tool. It doesn't describe error cases or exact return structure, but covers the essential information well.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters4/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    The tool has 0 parameters with 100% schema description coverage. The description appropriately doesn't discuss parameters since none exist, but it does explain the output format ('semantic versioning') and how the output relates to other tools, adding value beyond the empty schema.

    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 specific action ('Gets the latest stable version'), resource ('React Native from GitHub releases'), and scope ('excludes any release candidates or beta versions'). It distinguishes from the sibling tool by specifying this tool retrieves the stable version while the sibling compares versions.

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

    Usage Guidelines5/5

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

    The description explicitly states when to use this tool ('before planning an upgrade') and when not to use it (for non-stable versions). It names the alternative tool ('get-react-native-diff') and specifies the relationship ('must be called before calling get-react-native-diff tool').

    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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