@simonecoelhosfo/optimizely-mcp-server
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Optimizely MCP Server for AI assistants with integrated CLI tools
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JavaScript
/**
* Get Tool Reference Tool - Individual Module
* @description Provides comprehensive tool discovery and documentation
* @since 2025-08-04
* @author Tool Modularization Team
*
* Migration Status: COMPLETED
* Original Method: Standalone implementation in GetToolReference.ts
* Complexity: HIGH
* Dependencies: logger, errorMapper, extensive tool reference data
*/
// Complete tool reference data from audit
const TOOL_REFERENCE_DATA = {
"analyze_data": {
name: "analyze_data",
category: "Analytics",
primaryUse: "SQL-like data queries with aggregation support",
responseTime: "1-5s",
parameters: {
structured_query: {
type: "object",
required: true,
properties: {
from: "string - View name (REQUIRED)",
select: "string[] - Field names to return",
where: "object - Filter conditions",
group_by: "string[] - MUST match select fields for aggregations",
aggregate: "object - count, sum, avg, min, max functions",
order_by: "object - {field: string, direction: 'asc'|'desc'}",
limit: "number - Max rows (default: 10)",
offset: "number - Skip rows for pagination"
}
},
project_id: "string - Optional for better performance",
options: {
bypass_pagination: "boolean - Get all data",
page: "number - Page number",
page_size: "number - Results per page",
simplified: "boolean - Simplified response format"
}
},
returns: {
success: {
result: "success",
entities: "DataRecord[]",
pagination: {
consent_required: "boolean - Triggers consent if true",
has_more: "boolean - More pages available",
total_count: "number - Total records",
current_page: "number",
page_size: "number"
}
},
fieldError: {
result: "error",
error_type: "FieldNotFoundError",
available_fields: "string[]",
suggested_views: "string[]",
hint: "string"
},
aggregationError: {
result: "error",
error_type: "AggregationError",
corrected_query: "object - Fixed query structure",
explanation: "string"
}
},
useCases: [
"Complex data filtering and aggregation",
"Cross-entity analytics queries",
"Statistical analysis of experiment data"
],
criticalNotes: [
"MUST call get_entity_documentation first to get valid field names",
"When using aggregate, ALWAYS include group_by",
"group_by MUST list ALL fields from select",
"Booleans use 0/1 NOT true/false in where clause"
]
},
"list_projects": {
name: "list_projects",
category: "Discovery",
primaryUse: "Project enumeration and platform identification",
responseTime: "<1s",
parameters: {
random_string: "string - Dummy parameter for no-parameter tools"
},
returns: {
result: "success",
projects: [{
id: "string",
name: "string",
platform: "string - 'web' | 'custom'",
is_flags_enabled: "boolean - Platform type indicator",
account_id: "string",
flag_count: "number",
experiment_count: "number",
environment_count: "number",
last_modified: "string",
platform_type: "'Feature Experimentation' | 'Web Experimentation'",
experiment_explanation: "string - Platform-specific guidance"
}],
summary: {
total_projects: "number",
feature_experimentation_projects: "number",
web_experimentation_projects: "number"
}
},
useCases: [
"Initial project discovery",
"Platform type identification",
"Account-level overview"
],
decisionPattern: [
"is_flags_enabled: true OR platform: 'custom' = Feature Experimentation",
"is_flags_enabled: false AND platform: 'web' = Web Experimentation"
]
},
"get_entity_details": {
name: "get_entity_details",
category: "Discovery",
primaryUse: "Single entity deep inspection with templates",
responseTime: "<1s",
parameters: {
entity_type: "string - REQUIRED: flag, experiment, audience, etc.",
entity_id: "string - REQUIRED: accepts ID or key",
project_id: "string - Enables template enhancement",
options: {
include_templates: "boolean - Default: true",
template_complexity: "1|2|3 - Default: 2",
enhanced_details: "boolean - Use specialized formatters",
include_results: "boolean - For experiments"
}
},
returns: {
entity_data: "EntityRecord",
model_friendly_template: {
description: "string",
usage: "string",
template: "TemplateStructure",
complexity_level: "number",
platform: "'feature' | 'web'"
},
project_context: "ProjectInfo",
_mcp_guidance: "object - Agent hints"
},
useCases: [
"Get complete details for a single entity",
"Retrieve creation templates",
"Understand entity structure"
],
criticalNotes: [
"Much faster than list_entities for single item lookup",
"Templates show how to recreate the entity"
]
},
"get_optimization_analysis": {
name: "get_optimization_analysis",
category: "Analytics",
primaryUse: "AI-powered performance analysis with actionable insights",
responseTime: "3-8s",
parameters: {
project_id: "string - REQUIRED",
analysis_type: "'experiment_performance' | 'flag_usage' | 'audience_effectiveness' | 'comprehensive'",
options: {
include_recommendations: "boolean - Default: true",
include_visualizations: "boolean - Default: false",
time_period_days: "number - Default: 30",
specific_entities: "string[] - Entity IDs to focus on"
}
},
returns: {
result: "success",
analysis_type: "string",
insights: [{
category: "string",
finding: "string",
impact: "'high' | 'medium' | 'low'",
recommendation: "string",
affected_entities: "string[]",
metrics: "object"
}],
recommendations: [{
action: "string",
priority: "'high' | 'medium' | 'low'",
expected_impact: "string",
implementation_steps: "string[]"
}],
summary: "object - High-level metrics"
},
useCases: [
"Deep performance analysis",
"Identify optimization opportunities",
"Data-driven recommendations"
],
decisionPattern: [
"Use for AI-powered insights and trends",
"Prefer over get_recommendations for deeper analysis"
]
},
"get_recommendations": {
name: "get_recommendations",
category: "Analytics",
primaryUse: "Rule-based optimization suggestions",
responseTime: "2-5s",
parameters: {
project_id: "string - REQUIRED",
focus_area: "'experiments' | 'flags' | 'audiences' | 'performance' | 'all'",
include_historical: "boolean - Default: true",
timeframe_days: "number - Default: 30",
limit: "number - Max recommendations"
},
returns: {
result: "success",
recommendations: [{
id: "string",
type: "'optimization' | 'configuration' | 'experimentation' | 'governance'",
priority: "'high' | 'medium' | 'low'",
title: "string",
description: "string",
impact: "string",
effort: "'low' | 'medium' | 'high'",
category: "string",
related_entities: "string[]",
actions: [{
action: "string",
tool: "string",
parameters: "object"
}]
}],
focus_area: "string",
summary: {
total_recommendations: "number",
high_priority: "number",
medium_priority: "number",
low_priority: "number"
}
},
useCases: [
"Rule-based optimization guidance",
"Best practice compliance",
"Project improvement suggestions"
],
criticalNotes: [
"Uses pattern-based analysis, not AI",
"Lighter weight than get_optimization_analysis"
]
},
"compare_environments": {
name: "compare_environments",
category: "Analytics",
primaryUse: "Environment configuration drift detection",
responseTime: "1-3s",
parameters: {
project_id: "string - REQUIRED",
flag_key: "string - Optional: single flag vs all flags",
environments: "string[] - Optional: defaults to all environments"
},
returns: {
result: "success",
comparison: {
project_id: "string",
environments: "string[]",
flag_key: "string",
differences: [{
flag_key: "string",
flag_name: "string",
difference_type: "'enabled_state' | 'traffic_allocation' | 'audience_targeting' | 'variable_values'",
environments: "object - env_key: value mapping",
severity: "'major' | 'minor'",
impact: "string"
}],
summary: {
total_flags_compared: "number",
flags_with_differences: "number",
environments_compared: "number",
major_differences: "number",
minor_differences: "number"
}
}
},
useCases: [
"Environment drift detection",
"Configuration validation",
"Deployment verification"
]
},
"manage_cache": {
name: "manage_cache",
category: "System",
primaryUse: "Cache operations for offline data access",
responseTime: "5s-30min",
parameters: {
operation: "'initialize' | 'refresh' | 'clear' - REQUIRED",
project_id: "string - For refresh only",
options: {
force: "boolean - Clear before refresh (REQUIRES CONSENT)",
incremental: "boolean - Fast incremental sync",
views_only: "boolean - Recreate views only",
wait_for_completion: "boolean - Block until finished"
}
},
returns: {
success: {
result: "success",
operation: "string",
duration_ms: "number",
projects_synced: "number",
entities_synced: "object - counts by type",
cache_size_mb: "number",
next_sync_time: "string"
},
clear: {
result: "success",
operation: "clear",
cache_cleared: "boolean",
freed_space_mb: "number"
},
running: {
status: "running",
operation: "string",
progress_percentage: "number",
current_step: "string",
estimated_completion: "string"
}
},
useCases: [
"Initial data sync (7-30 minutes)",
"Incremental updates (1-3 minutes)",
"Cache troubleshooting"
],
criticalNotes: [
"initialize, clear, and force operations REQUIRE user consent",
"Empty cache requires initialize first"
]
},
"export_data": {
name: "export_data",
category: "Export",
primaryUse: "File generation in CSV, JSON, or YAML",
responseTime: "2-10s",
parameters: {
format: "'csv' | 'json' | 'yaml' - REQUIRED",
entity_type: "string - Simple entity export",
structured_query: "object - Complex analytics export",
query: "string - DEPRECATED - DO NOT USE",
project_id: "string - Recommended",
filename: "string",
output_directory: "string - Default: ./exports",
custom_fields: "string[] - Only these fields",
exclude_fields: "string[] - Exclude these fields",
include_metadata: "boolean - Default: true",
pretty_print: "boolean - Default: true",
options: {
limit: "number",
bypass_pagination: "boolean - Auto-enabled for exports"
}
},
returns: {
success: {
result: "success",
export: {
file_path: "string",
filename: "string",
format: "string",
size_bytes: "number",
record_count: "number",
created_at: "string"
},
metadata: "object",
summary: "object"
},
parameterGuidance: {
result: "error",
error_type: "ParameterGuidance",
message: "string",
suggestion: "object"
}
},
useCases: [
"Bulk data extraction",
"Reporting and analysis",
"Data backup"
],
criticalNotes: [
"Natural language queries no longer supported",
"Use entity_type for simple exports",
"Use structured_query for complex exports"
]
},
// Continue with all 29 tools from audit...
// For brevity, I'll include key ones and structure
"manage_entity_lifecycle": {
name: "manage_entity_lifecycle",
category: "CRUD",
primaryUse: "Create, update, delete entities with auto-orchestration",
responseTime: "1-15s",
parameters: {
operation: "'create' | 'update' | 'delete' - REQUIRED",
entity_type: "string - REQUIRED",
project_id: "string - Required for most operations",
entity_id: "string - Required for update/delete",
entity_data: "object - Entity-specific fields",
template_data: "object - For template mode",
mode: "'direct' | 'template' - Default: direct",
options: {
validate_only: "boolean - Dry run",
auto_orchestrate: "boolean - Auto-create dependencies",
skip_validation: "boolean"
}
},
returns: {
create: {
result: "success",
entity: "CreatedEntity",
orchestration: {
auto_orchestrated: "boolean",
created_dependencies: "object[]"
}
},
update: {
result: "success",
entity: "UpdatedEntity",
changes: "object"
},
delete: {
result: "success",
entity_type: "string",
entity_id: "string",
deleted: "boolean"
}
},
useCases: [
"Entity creation with dependencies",
"Bulk entity updates",
"Safe entity deletion"
],
criticalNotes: [
"Template mode auto-orchestrates complex entities",
"Delete operations require explicit consent",
"Auto-creates audiences, events, pages when referenced"
]
},
"get_entity_documentation": {
name: "get_entity_documentation",
category: "Documentation",
primaryUse: "Field specs and schema documentation",
responseTime: "<1s",
parameters: {
entity_type: "string - View name or entity type"
},
returns: {
documentation: {
entity_type: "string",
description: "string",
fields: [{
name: "string",
type: "string",
description: "string",
required: "boolean",
example: "any"
}],
examples: "object[]",
notes: "string[]"
}
},
useCases: [
"Get available fields before analyze_data",
"Understand entity schemas",
"View documentation for analytics"
],
criticalNotes: [
"ALWAYS call before analyze_data queries",
"Returns all 18 analytics views when called without params"
]
}
};
// Decision matrix for tool selection
const TOOL_DECISION_MATRIX = [
{ userSays: "List my projects", useTool: "list_projects", reason: "Project discovery" },
{ userSays: "Show all flags in project X", useTool: "list_entities", reason: "Entity browsing" },
{ userSays: "Get details about flag Y", useTool: "get_entity_details", reason: "Single entity deep dive" },
{ userSays: "Analyze flag performance", useTool: "analyze_data + get_entity_documentation", reason: "Analytics queries" },
{ userSays: "Export all experiments to CSV", useTool: "export_data", reason: "Bulk data export" },
{ userSays: "Create a new audience", useTool: "manage_entity_lifecycle", reason: "Entity creation" },
{ userSays: "Enable flag Z in production", useTool: "manage_flag_state", reason: "Flag state control" },
{ userSays: "Who changed this flag?", useTool: "get_flag_history", reason: "Audit trail" },
{ userSays: "How do I create an experiment?", useTool: "get_entity_templates", reason: "Creation guidance" },
{ userSays: "Compare environments", useTool: "compare_environments", reason: "Configuration drift" },
{ userSays: "Show experiment results", useTool: "get_results", reason: "A/B test analysis" },
{ userSays: "System health check", useTool: "get_system_status", reason: "Monitoring" },
{ userSays: "What uses this flag?", useTool: "get_flag_entities", reason: "Dependency analysis" },
{ userSays: "Bulk update traffic allocation", useTool: "update_flags_bulk", reason: "Mass operations" },
{ userSays: "Remove old flags", useTool: "archive_flags_bulk", reason: "Cleanup" },
{ userSays: "Move entities to another project", useTool: "migrate_entities", reason: "Cross-project transfer" },
{ userSays: "Create campaign with experiments", useTool: "orchestrate_template", reason: "Multi-step workflows" },
{ userSays: "What REST endpoints are available?", useTool: "get_openapi_reference", reason: "API documentation" },
{ userSays: "How to use JavaScript SDK?", useTool: "get_optimizely_api_reference", reason: "SDK documentation" }
];
/**
* Creates the Get Tool Reference tool with injected dependencies
* @param deps - Injected dependencies (storage, logger, errorMapper, etc.)
* @returns Tool definition with handler
*/
export function createGetToolReferenceTool(deps) {
return {
name: 'get_tool_reference',
requiresCache: false,
category: 'documentation',
description: `🔧 DISCOVER tool capabilities, parameters, and return structures
⚡ OPERATIONS:
• list → Overview of all 29 MCP tools with categories
• details → Complete specs for a specific tool
• search → Find tools by capability or use case
• matrix → Decision guide for tool selection
🤖 DECISION PATTERN:
• "What tools are available?" → list
• "How does analyze_data work?" → details
• "Which tool for experiments?" → search
• "Tool selection guide?" → matrix
📊 RETURNS:
• Parameters-first structure for agent parsing
• Complete return type documentation
• Real-world usage examples
• Performance characteristics
💡 EXAMPLES:
• List all: {"operation": "list"}
• Tool details: {"operation": "details", "tool_name": "analyze_data"}
• Find tools: {"operation": "search", "capability": "export"}
• Decision help: {"operation": "matrix"}`,
handler: async (args) => {
const { operation, tool_name, capability, category } = args;
switch (operation) {
case "list":
return handleListOperation(category);
case "details":
if (!tool_name) {
return {
error: "tool_name is required for details operation",
available_tools: Object.keys(TOOL_REFERENCE_DATA)
};
}
return handleDetailsOperation(tool_name);
case "search":
if (!capability) {
return {
error: "capability is required for search operation",
example_capabilities: ["export", "analytics", "create", "flag", "experiment", "cache"]
};
}
return handleSearchOperation(capability);
case "matrix":
return handleMatrixOperation();
default:
return {
error: "Invalid operation",
valid_operations: ["list", "details", "search", "matrix"]
};
}
}
};
}
// Handler functions
function handleListOperation(category) {
const tools = Object.values(TOOL_REFERENCE_DATA);
const filteredTools = category
? tools.filter(tool => tool.category === category)
: tools;
const categorySummary = filteredTools.reduce((acc, tool) => {
acc[tool.category] = (acc[tool.category] || 0) + 1;
return acc;
}, {});
return {
result: "success",
total_tools: filteredTools.length,
category_filter: category || "all",
categories: categorySummary,
tools: filteredTools.map(tool => ({
name: tool.name,
category: tool.category,
primary_use: tool.primaryUse,
response_time: tool.responseTime,
parameter_count: Object.keys(tool.parameters).length,
has_complex_returns: Object.keys(tool.returns).length > 1
})),
usage_hint: "Use 'details' operation for complete tool documentation"
};
}
function handleDetailsOperation(toolName) {
const tool = TOOL_REFERENCE_DATA[toolName];
if (!tool) {
return {
error: `Tool '${toolName}' not found`,
available_tools: Object.keys(TOOL_REFERENCE_DATA),
suggestion: `Did you mean: ${findClosestToolName(toolName)}?`
};
}
return {
result: "success",
tool: {
// Parameters first for agent attention
parameters: tool.parameters,
returns: tool.returns,
// Metadata
name: tool.name,
category: tool.category,
primary_use: tool.primaryUse,
response_time: tool.responseTime,
// Usage guidance
use_cases: tool.useCases,
critical_notes: tool.criticalNotes || [],
decision_pattern: tool.decisionPattern || [],
// Quick examples
example_calls: generateExampleCalls(tool)
}
};
}
function handleSearchOperation(capability) {
const searchTerm = capability.toLowerCase();
const matches = Object.values(TOOL_REFERENCE_DATA).filter(tool => {
const searchableText = [
tool.name,
tool.primaryUse,
tool.category,
...tool.useCases
].join(" ").toLowerCase();
return searchableText.includes(searchTerm);
});
return {
result: "success",
search_term: capability,
matches_found: matches.length,
tools: matches.map(tool => ({
name: tool.name,
category: tool.category,
primary_use: tool.primaryUse,
relevance_reason: tool.useCases.find(uc => uc.toLowerCase().includes(searchTerm)) || tool.primaryUse
})),
alternative_searches: matches.length === 0 ? [
"Try searching for: analytics, export, create, flag, experiment"
] : []
};
}
function handleMatrixOperation() {
return {
result: "success",
decision_matrix: TOOL_DECISION_MATRIX,
usage_guide: {
instruction: "Match user intent to tool selection",
example: "If user says 'Show all flags', use 'list_entities' tool",
categories: {
analytics: ["analyze_data", "get_optimization_analysis", "get_recommendations", "compare_environments", "get_results"],
discovery: ["list_projects", "list_entities", "get_entity_details", "get_project_data"],
operations: ["manage_entity_lifecycle", "manage_flag_state", "update_ruleset", "update_flags_bulk"],
system: ["manage_cache", "get_system_status", "migrate_entities"],
documentation: ["get_entity_documentation", "get_entity_templates", "get_openapi_reference", "get_optimizely_api_reference"]
}
}
};
}
// Helper functions
function findClosestToolName(input) {
// Simple closest match - could be improved with Levenshtein distance
const tools = Object.keys(TOOL_REFERENCE_DATA);
return tools.find(tool => tool.includes(input)) || tools[0];
}
function generateExampleCalls(tool) {
// Generate simple example calls based on parameters
const examples = [];
// Create a basic example with required parameters
const requiredParams = {};
Object.entries(tool.parameters).forEach(([key, value]) => {
if (value.required || value.includes("REQUIRED")) {
requiredParams[key] = `<${key}>`;
}
});
if (Object.keys(requiredParams).length > 0) {
examples.push({
description: "Minimal required parameters",
params: requiredParams
});
}
// Add one complex example if applicable
if (Object.keys(tool.parameters).length > 2) {
examples.push({
description: "Full example with options",
params: {
...requiredParams,
options: "{ see documentation }"
}
});
}
return examples;
}
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