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@yawlabs/electron-mcp

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by YawLabs

electron_audit_performance

Read-onlyIdempotent

Analyzes Electron main, renderer, and preload code to detect and fix 7 performance anti-patterns including eager module loading and synchronous operations.

Instructions

Analyze Electron app code for 7 official performance anti-patterns: eager module loading, synchronous main-process operations, excessive BrowserWindows at startup, unnecessary polyfills, CDN-loaded assets, heavy preload scripts, and unbundled dependencies. Returns specific fixes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mainCodeNoMain process code to analyze
rendererCodeNoRenderer process code to analyze
preloadCodeNoPreload script code to analyze
packageJsonNopackage.json content to check for bundling and dependencies
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds value by listing the 7 anti-patterns and stating 'Returns specific fixes,' which informs the agent about output and scope.

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 is front-loaded with the action and explicitly lists the anti-patterns. No redundant information; every word adds value.

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 schema covers all parameters and the description specifies the output (fixes), the tool is explained well. However, it lacks details on error handling, behavior with empty input, or return format specifics.

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 parameters are well-documented there. The description does not add additional meaning beyond the schema, remaining generic. Baseline 3 is appropriate.

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 analyzes Electron app code for 7 specific performance anti-patterns, listing them. It distinguishes from sibling tools like electron_audit_security by specifying performance focus.

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

Usage Guidelines3/5

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

The description implies use for performance issues but does not explicitly state when to use versus alternatives like security or migration tools. No exclusions or when-not-to-use guidance is provided.

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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