Electron Native MCP Server
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation5/5
The two tools have clearly distinct purposes: electron_execute is for executing JavaScript in an Electron app, while electron_reset is for resetting the CDP connection. There is no overlap in functionality, making them easy to differentiate.
Naming Consistency5/5Both tools follow a consistent naming pattern with the prefix 'electron_' followed by a verb (execute, reset). This makes the tool set predictable and easy to understand.
Tool Count2/5With only two tools, the server feels under-scoped for automating Electron apps. Key operations like launching apps, managing windows, or handling events are missing, limiting its utility for comprehensive automation tasks.
Completeness2/5The tool set is severely incomplete for Electron automation. It lacks essential operations such as launching or quitting apps, managing multiple windows, handling IPC, or accessing Node.js modules, which are core to Electron's functionality.
Average 4.4/5 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
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
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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 full burden and does an excellent job explaining key behaviors: it returns the last expression's value, allows state persistence between calls, provides error handling guidance for 'No Electron targets found', and includes best practices for reliable execution. The only minor gap is not explicitly stating whether this is a read-only or mutating operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is perfectly structured and front-loaded with the core purpose, followed by key patterns and best practices sections. Every sentence earns its place by providing essential information without redundancy. The bullet-point format makes it highly scannable and efficient.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of executing JavaScript in Electron via CDP with no annotations and no output schema, the description provides excellent context about return values, state persistence, error handling, and best practices. The only minor gap is not explicitly documenting the exact format of return values, though it mentions 'Returns the last expression's value' which provides reasonable guidance.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, so the baseline is 3. The description doesn't add significant parameter semantics beyond what the schema already provides ('JavaScript code to execute in the Electron renderer process'), though it does provide context about the execution environment and examples that indirectly relate to the 'code' parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Execute JavaScript in an Electron app's renderer process via CDP') and distinguishes it from the sibling tool 'electron_reset' by focusing on code execution rather than resetting state. It uses precise technical terminology that defines the exact operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context about when to use this tool (for JavaScript execution in Electron renderer processes) and includes best practices like using multiple calls and returning values. However, it doesn't explicitly state when NOT to use it or directly compare it to the sibling 'electron_reset' tool, which would be needed for a perfect score.
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 of behavioral disclosure. It effectively describes the tool's behavior: it resets a connection and clears a state object, which implies a destructive action that could affect ongoing operations. However, it doesn't detail potential side effects like session loss or reconnection time.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with three short sentences that each add value: stating the action, when to use it, and what it affects. It's front-loaded with the core purpose and wastes no words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (a reset operation with no parameters) and the absence of annotations and output schema, the description is mostly complete. It covers purpose, usage context, and behavioral effect, though it could benefit from mentioning what 'CDP' stands for or the expected outcome after reset.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, maintaining focus on the tool's purpose and usage. A baseline of 4 is applied since no parameters exist.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Reset CDP connection') and the resource affected ('state object'), distinguishing it from the sibling tool 'electron_execute' which likely performs execution rather than resetting connections. It goes beyond just restating the name 'electron_reset' by explaining what gets reset.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states when to use this tool ('when execute times out or returns connectivity errors'), providing clear context for its application. It implies an alternative by referencing the sibling tool 'electron_execute' for normal operations, though it doesn't explicitly name it as an alternative.
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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