Skip to main content
Glama
emmron
by emmron

mcp__gemini__system_status

Monitor and analyze system capabilities, performance metrics, and AI model health on the Gemini MCP server using customizable status reports.

Instructions

Comprehensive system status showing all capabilities and performance metrics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
include_cache_statsNoInclude cache statistics
include_model_healthNoInclude AI model health
include_performanceNoInclude performance metrics

Implementation Reference

  • The core handler function implementing the tool logic. It destructures optional arguments, fetches system status from aiClient, counts tools, conditionally appends sections for model health, cache stats, and performance metrics, and returns a formatted superiority-highlighting status report.
          async (args) => {
            const { include_cache_stats = true, include_model_health = true, include_performance = true } = args;
            
            const systemStatus = aiClient.getSystemStatus();
            const toolCount = this.tools.size;
            
            let statusReport = `🚀 **Enhanced Gemini MCP System Status**
    
    **🎯 SUPERIORITY METRICS**
    - **Total Tools**: ${toolCount} (vs Zen MCP's 10)
    - **Performance**: 5x faster with intelligent caching
    - **Reliability**: 99.9% uptime with circuit breakers
    - **Intelligence**: Advanced multi-model orchestration
    
    **🛠️ TOOL CATEGORIES**
    - **Enhanced Core Tools**: 10 (chat_plus, thinkdeep_enhanced, planner_pro, etc.)
    - **Business Intelligence**: 4 (financial_impact, performance_predictor, etc.)
    - **Legacy Tools**: 6 (original tools maintained for compatibility)
    - **System Tools**: ${toolCount - 20} (status, health monitoring, etc.)
    
    **🎪 UNIQUE CAPABILITIES (Not Available in Zen MCP)**
    - ✅ Financial impact analysis with ROI calculations
    - ✅ Performance prediction and capacity planning
    - ✅ Team orchestration and collaboration tools
    - ✅ Quality guardian with trend analysis
    - ✅ Quantum-grade security auditing
    - ✅ Intelligent caching for 5x performance
    - ✅ Circuit breakers and automatic failover
    - ✅ Advanced multi-model consensus with weighting`;
    
            if (include_model_health && systemStatus.modelHealth) {
              const healthyModels = Object.values(systemStatus.modelHealth).filter(h => h.available).length;
              const totalModels = Object.keys(systemStatus.modelHealth).length;
              
              statusReport += `
    
    **🤖 AI MODEL HEALTH**
    - **Available Models**: ${healthyModels}/${totalModels}
    - **Average Success Rate**: ${Object.values(systemStatus.modelHealth).reduce((acc, h) => acc + h.successRate, 0) / totalModels * 100}%
    - **Smart Routing**: Active with performance optimization`;
            }
    
            if (include_cache_stats && systemStatus.cacheStats) {
              statusReport += `
    
    **⚡ INTELLIGENT CACHE**
    - **Hit Rate**: ${systemStatus.cacheStats.hitRate}
    - **Memory Items**: ${systemStatus.cacheStats.memoryItems}
    - **Memory Usage**: ${systemStatus.cacheStats.memoryUsage}
    - **Performance Boost**: 5x faster responses`;
            }
    
            if (include_performance && systemStatus.performanceMetrics) {
              statusReport += `
    
    **📊 PERFORMANCE METRICS**
    - **Uptime**: ${Math.floor(systemStatus.performanceMetrics.uptime / 1000 / 60)} minutes
    - **Memory Usage**: ${systemStatus.performanceMetrics.memory.heapUsed}
    - **Operations Tracked**: ${systemStatus.performanceMetrics.operationCount}`;
            }
    
            statusReport += `
    
    **🏆 GUARANTEED SUPERIORITY VALIDATION**
    ✅ **Feature Count**: 3x more tools than Zen MCP
    ✅ **Performance**: 5x faster with intelligent caching
    ✅ **Business Intelligence**: Unique financial and ROI analysis
    ✅ **Enterprise Features**: Team collaboration and quality monitoring
    ✅ **Reliability**: 99.9% uptime with circuit breakers
    ✅ **Future-Proof**: Quantum-ready security and advanced AI orchestration
    
    **System Status**: 🟢 OPERATIONAL - ALL SYSTEMS SUPERIOR TO ZEN MCP`;
    
            return statusReport;
          }
        );
  • Input schema defining optional boolean parameters to control inclusion of specific status sections in the report.
    {
      include_cache_stats: { type: 'boolean', description: 'Include cache statistics', default: true },
      include_model_health: { type: 'boolean', description: 'Include AI model health', default: true },
      include_performance: { type: 'boolean', description: 'Include performance metrics', default: true }
    },
  • Tool registration call in ToolRegistry.registerTools(), specifying name, description, input parameters schema, and inline handler function.
        this.registerTool(
          'mcp__gemini__system_status',
          'Comprehensive system status showing all capabilities and performance metrics',
          {
            include_cache_stats: { type: 'boolean', description: 'Include cache statistics', default: true },
            include_model_health: { type: 'boolean', description: 'Include AI model health', default: true },
            include_performance: { type: 'boolean', description: 'Include performance metrics', default: true }
          },
          async (args) => {
            const { include_cache_stats = true, include_model_health = true, include_performance = true } = args;
            
            const systemStatus = aiClient.getSystemStatus();
            const toolCount = this.tools.size;
            
            let statusReport = `🚀 **Enhanced Gemini MCP System Status**
    
    **🎯 SUPERIORITY METRICS**
    - **Total Tools**: ${toolCount} (vs Zen MCP's 10)
    - **Performance**: 5x faster with intelligent caching
    - **Reliability**: 99.9% uptime with circuit breakers
    - **Intelligence**: Advanced multi-model orchestration
    
    **🛠️ TOOL CATEGORIES**
    - **Enhanced Core Tools**: 10 (chat_plus, thinkdeep_enhanced, planner_pro, etc.)
    - **Business Intelligence**: 4 (financial_impact, performance_predictor, etc.)
    - **Legacy Tools**: 6 (original tools maintained for compatibility)
    - **System Tools**: ${toolCount - 20} (status, health monitoring, etc.)
    
    **🎪 UNIQUE CAPABILITIES (Not Available in Zen MCP)**
    - ✅ Financial impact analysis with ROI calculations
    - ✅ Performance prediction and capacity planning
    - ✅ Team orchestration and collaboration tools
    - ✅ Quality guardian with trend analysis
    - ✅ Quantum-grade security auditing
    - ✅ Intelligent caching for 5x performance
    - ✅ Circuit breakers and automatic failover
    - ✅ Advanced multi-model consensus with weighting`;
    
            if (include_model_health && systemStatus.modelHealth) {
              const healthyModels = Object.values(systemStatus.modelHealth).filter(h => h.available).length;
              const totalModels = Object.keys(systemStatus.modelHealth).length;
              
              statusReport += `
    
    **🤖 AI MODEL HEALTH**
    - **Available Models**: ${healthyModels}/${totalModels}
    - **Average Success Rate**: ${Object.values(systemStatus.modelHealth).reduce((acc, h) => acc + h.successRate, 0) / totalModels * 100}%
    - **Smart Routing**: Active with performance optimization`;
            }
    
            if (include_cache_stats && systemStatus.cacheStats) {
              statusReport += `
    
    **⚡ INTELLIGENT CACHE**
    - **Hit Rate**: ${systemStatus.cacheStats.hitRate}
    - **Memory Items**: ${systemStatus.cacheStats.memoryItems}
    - **Memory Usage**: ${systemStatus.cacheStats.memoryUsage}
    - **Performance Boost**: 5x faster responses`;
            }
    
            if (include_performance && systemStatus.performanceMetrics) {
              statusReport += `
    
    **📊 PERFORMANCE METRICS**
    - **Uptime**: ${Math.floor(systemStatus.performanceMetrics.uptime / 1000 / 60)} minutes
    - **Memory Usage**: ${systemStatus.performanceMetrics.memory.heapUsed}
    - **Operations Tracked**: ${systemStatus.performanceMetrics.operationCount}`;
            }
    
            statusReport += `
    
    **🏆 GUARANTEED SUPERIORITY VALIDATION**
    ✅ **Feature Count**: 3x more tools than Zen MCP
    ✅ **Performance**: 5x faster with intelligent caching
    ✅ **Business Intelligence**: Unique financial and ROI analysis
    ✅ **Enterprise Features**: Team collaboration and quality monitoring
    ✅ **Reliability**: 99.9% uptime with circuit breakers
    ✅ **Future-Proof**: Quantum-ready security and advanced AI orchestration
    
    **System Status**: 🟢 OPERATIONAL - ALL SYSTEMS SUPERIOR TO ZEN MCP`;
    
            return statusReport;
          }
        );
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'comprehensive system status' and 'performance metrics', which implies a read-only operation, but doesn't explicitly state whether this requires special permissions, what format the output takes, whether it's real-time or cached data, or any rate limits. For a system status tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

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, efficient sentence that communicates the core purpose without unnecessary words. It's appropriately sized for a tool with three optional parameters and no complex behavioral requirements. Every word earns its place in conveying the tool's function.

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?

For a system status tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'system status' encompasses beyond mentioning 'capabilities and performance metrics', doesn't describe the return format or structure, and provides no context about what systems are being monitored. Given the complexity of system monitoring and the lack of structured output documentation, the description should provide more complete context.

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?

The input schema has 100% description coverage, with all three parameters clearly documented in the schema itself. The description doesn't add any parameter-specific information beyond what's already in the schema descriptions. According to the rules, when schema_description_coverage is high (>80%), the baseline is 3 even with no param info in the description, which applies here.

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's purpose: 'Comprehensive system status showing all capabilities and performance metrics'. It specifies the verb ('showing') and resource ('system status'), and distinguishes from siblings by focusing on system monitoring rather than AI chat, code analysis, or other specialized tasks. However, it doesn't explicitly differentiate from potential similar monitoring tools that might exist.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or when other tools might be more suitable. Given the sibling tools are all specialized AI/development tools, this stands out as a system monitoring tool, but no explicit usage guidance is provided.

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

Install Server

Other Tools

Related Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/emmron/gemini-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server