@anyshift/mcp-tools-common
Version:
Reusable JQ tool and file writing utilities for MCP servers
1 lines ā¢ 54.4 kB
Source Map (JSON)
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Arguments passed to the tool\n * @param toolAbbreviations - Optional custom abbreviations for tool names\n * @returns Compact filename like \"1697834567123_met_qry_a3b4c5.json\"\n */\nexport const generateCompactFilename = (\n toolName: string,\n args: Record<string, unknown>,\n toolAbbreviations?: Record<string, string>,\n): string => {\n const timestamp = generateCompactTimestamp()\n const toolAbbrev = toolAbbreviations?.[toolName] || toolName.substring(0, 6)\n const argsHash = hashArgs(args)\n\n return `${timestamp}_${toolAbbrev}_${argsHash}.json`\n}\n","import { JsonSchema, NullableFields } from '../types/index.js'\n\n/**\n * Analyze JSON structure and generate enhanced schema\n * @param obj - The object to analyze\n * @param path - Current path in the object (for debugging)\n * @returns Schema representation of the object\n */\nexport function analyzeJsonSchema(obj: unknown, path: string = 'root'): JsonSchema {\n if (obj === null) return { type: 'null' }\n if (obj === undefined) 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'array' : typeof item)\n }\n }\n\n const schema: JsonSchema = {\n type: 'array',\n items:\n itemTypes.size === 1 && !hasNulls\n ? analyzeJsonSchema(arr[0], `${path}[0]`)\n : { types: Array.from(itemTypes) },\n length: arr.length,\n }\n\n // Add hints for null handling\n if (hasNulls) {\n schema._hasNulls = true\n }\n\n return schema\n } else {\n return { type }\n }\n}\n\n/**\n * Extract nullable and always-null fields from schema\n * @param schema - The schema to analyze\n * @param basePath - Base path for field names\n * @returns Object containing arrays of always-null and nullable field paths\n */\nexport function extractNullableFields(\n schema: unknown,\n basePath: string = '',\n): NullableFields {\n const alwaysNull: string[] = []\n const nullable: string[] = []\n\n function traverse(s: unknown, path: string) {\n if (!s || typeof s !== 'object') return\n\n const schemaObj = s as Record<string, unknown>\n\n // Check if this field is always null\n if (schemaObj.type === 'null') {\n alwaysNull.push(path)\n return\n }\n\n // Check if this field can be null (mixed types)\n if (schemaObj.items && typeof schemaObj.items === 'object') {\n const items = schemaObj.items as Record<string, unknown>\n if (\n items.types &&\n Array.isArray(items.types) &&\n items.types.includes('null')\n ) {\n nullable.push(path)\n }\n }\n\n // Recurse into object properties\n if (schemaObj.type === 'object' && schemaObj.properties) {\n const props = schemaObj.properties as Record<string, unknown>\n for (const [key, value] of Object.entries(props)) {\n const newPath = path ? `${path}.${key}` : key\n traverse(value, newPath)\n }\n }\n\n // Recurse into array items\n if (\n schemaObj.type === 'array' &&\n schemaObj.items &&\n typeof schemaObj.items === 'object'\n ) {\n const items = schemaObj.items as Record<string, unknown>\n if (items.type === 'object' && items.properties) {\n const props = items.properties as Record<string, unknown>\n for (const [key, value] of Object.entries(props)) {\n const newPath = path ? `${path}[].${key}` : `[].${key}`\n traverse(value, newPath)\n }\n }\n }\n }\n\n traverse(schema, basePath)\n return { alwaysNull, nullable }\n}\n","import fs from 'fs/promises'\nimport path from 'path'\nimport { FileWriterConfig, FileWriterResult } from './types.js'\nimport { generateCompactFilename } from '../utils/filename.js'\nimport { analyzeJsonSchema, extractNullableFields } from './schema.js'\n\n// Default minimum character count to trigger file writing\nconst DEFAULT_MIN_CHARS = 1000\n\n/**\n * Helper function to detect if a response contains an error\n */\nconst isErrorResponse = (response: unknown): boolean => {\n if (!response || typeof response !== 'object') return false\n\n const obj = response as Record<string, unknown>\n\n // Check MCP-level error flags first\n if (obj.error || obj.isError) {\n return true\n }\n\n // For MCP responses, extract and parse the raw text to check for API-level errors\n const rawText = extractRawText(obj as { _rawText?: string; content?: unknown[] })\n if (rawText) {\n try {\n // Handle cases where text might contain \"Listed incidents: {...}\" or \"Queried metrics data: {...}\"\n let jsonText = rawText\n\n // Extract JSON from common response patterns\n const jsonMatch = rawText.match(/:\\s*(\\{.*\\}|\\[.*\\])$/s)\n if (jsonMatch) {\n jsonText = jsonMatch[1]\n }\n\n // Try to parse as JSON to check for status: \"error\"\n const parsed = JSON.parse(jsonText)\n return parsed.status === 'error'\n } catch {\n // If JSON parsing fails, fall back to string matching\n return (\n rawText.includes('\"status\":\"error\"') ||\n rawText.includes('\"status\": \"error\"')\n )\n }\n }\n\n // Fallback: check if the response object directly has status === 'error'\n return obj.status === 'error'\n}\n\n/**\n * Helper function to extract error message from API error responses\n */\nconst extractErrorMessage = (response: unknown): string => {\n if (!response || typeof response !== 'object') {\n return 'Unknown error occurred'\n }\n\n const obj = response as Record<string, unknown>\n\n // Check for direct error properties first\n if (obj.error && typeof obj.error === 'string') {\n return obj.error\n }\n\n // For MCP responses, extract error from parsed content\n const rawText = extractRawText(obj as { _rawText?: string; content?: unknown[] })\n if (rawText) {\n try {\n // Handle cases where text might contain \"Listed incidents: {...}\" or \"Queried metrics data: {...}\"\n let jsonText = rawText\n\n // Extract JSON from common response patterns\n const jsonMatch = rawText.match(/:\\s*(\\{.*\\}|\\[.*\\])$/s)\n if (jsonMatch) {\n jsonText = jsonMatch[1]\n }\n\n const parsed = JSON.parse(jsonText)\n\n // Try different error message fields\n if (parsed.error && typeof parsed.error === 'string') {\n return parsed.error\n }\n if (parsed.message && typeof parsed.message === 'string') {\n return parsed.message\n }\n if (parsed.status === 'error') {\n return 'API request failed with error status'\n }\n } catch {\n // If JSON parsing fails, look for error patterns in the raw text\n const errorMatch = rawText.match(/\"error\":\\s*\"([^\"]+)\"/)\n if (errorMatch && errorMatch[1]) {\n return errorMatch[1]\n }\n\n const messageMatch = rawText.match(/\"message\":\\s*\"([^\"]+)\"/)\n if (messageMatch && messageMatch[1]) {\n return messageMatch[1]\n }\n }\n }\n\n return 'API error occurred'\n}\n\n/**\n * Extract raw text from MCP response format\n */\nconst extractRawText = (\n response: { _rawText?: string; content?: unknown[] },\n): string | null => {\n if (response._rawText) {\n return response._rawText\n }\n\n if (response.content && Array.isArray(response.content)) {\n const textContent = response.content\n .filter((item: unknown) => (item as { type?: string }).type === 'text')\n .map((item: unknown) => (item as { text: string }).text)\n .join('\\n')\n return textContent || null\n }\n\n return null\n}\n\n/**\n * Centralized response handler with file writing capability\n * @param config - File writer configuration\n * @param toolName - Name of the tool that generated the response\n * @param args - Arguments passed to the tool\n * @param responseData - The response data to potentially write to file\n * @returns Either the original response or a file reference response\n */\nexport async function handleToolResponse(\n config: FileWriterConfig,\n toolName: string,\n args: Record<string, unknown>,\n responseData: unknown,\n): Promise<FileWriterResult | unknown> {\n // JQ query tool should always return directly to AI (never write to file)\n if (toolName === 'execute_jq_query') {\n return responseData\n }\n\n // If there's an error, return proper MCP error response (never write errors to file)\n if (isErrorResponse(responseData)) {\n const errorMessage = extractErrorMessage(responseData)\n return {\n content: [\n {\n type: 'text',\n text: `Error: ${errorMessage}`,\n },\n ],\n isError: true,\n }\n }\n\n // If file writing is disabled, just return the response\n if (!config.enabled || !config.outputPath) {\n return responseData\n }\n\n // Check character count threshold - if response is too short, return directly\n const rawText = extractRawText(\n responseData as { _rawText?: string; content?: unknown[] },\n )\n\n let contentLength = 0\n if (rawText) {\n contentLength = rawText.length\n } else if (\n responseData &&\n typeof responseData === 'object' &&\n 'content' in responseData &&\n Array.isArray((responseData as { content: unknown[] }).content)\n ) {\n const textContent = (responseData as { content: unknown[] }).content\n .filter((item: unknown) => (item as { type?: string }).type === 'text')\n .map((item: unknown) => (item as { text: string }).text)\n .join('\\n')\n contentLength = textContent.length\n } else {\n contentLength = JSON.stringify(responseData).length\n }\n\n // If content is shorter than threshold, return response directly instead of writing to file\n const minChars = config.minCharsForWrite ?? DEFAULT_MIN_CHARS\n if (contentLength < minChars) {\n return responseData\n }\n\n // Success case: write to file\n try {\n // Create compact, LLM-friendly filename\n const filename = generateCompactFilename(\n toolName,\n args,\n config.toolAbbreviations,\n )\n const filepath = path.join(config.outputPath, filename)\n\n // Ensure output directory exists\n await fs.mkdir(config.outputPath, { recursive: true })\n\n // Extract the actual data from MCP response format\n let contentToWrite: string\n let parsedForSchema: unknown\n\n if (rawText) {\n try {\n // Try to parse the raw text as JSON for prettier formatting\n let jsonText = rawText\n\n // Extract JSON from common response patterns\n const jsonMatch = rawText.match(/:\\s*(\\{.*\\}|\\[.*\\])$/s)\n if (jsonMatch) {\n jsonText = jsonMatch[1]\n }\n\n const parsed = JSON.parse(jsonText)\n parsedForSchema = parsed\n\n // Remove pagination-related fields before writing\n const { pagination, has_more, next_page, previous_page, page, page_size, total_pages, ...cleanData } = parsed as Record<string, unknown>\n\n contentToWrite = JSON.stringify(cleanData, null, 2)\n } catch {\n // If parsing fails, write the raw text directly\n contentToWrite = rawText\n }\n } else {\n // Fallback: extract from display content or stringify the entire response\n if (\n responseData &&\n typeof responseData === 'object' &&\n 'content' in responseData &&\n Array.isArray((responseData as { content: unknown[] }).content)\n ) {\n const textContent = (responseData as { content: unknown[] }).content\n .filter((item: unknown) => (item as { type?: string }).type === 'text')\n .map((item: unknown) => (item as { text: string }).text)\n .join('\\n')\n contentToWrite = textContent\n } else {\n contentToWrite = JSON.stringify(responseData, null, 2)\n }\n }\n\n await fs.writeFile(filepath, contentToWrite)\n\n // Try to generate schema if we have valid JSON\n let schemaInfo = ''\n let quickReference = ''\n if (parsedForSchema) {\n // Use the clean data (without pagination) for schema analysis\n const { pagination, has_more, next_page, previous_page, page, page_size, total_pages, ...cleanData } = parsedForSchema as Record<string, unknown>\n const schema = analyzeJsonSchema(cleanData)\n const nullFields = extractNullableFields(schema)\n const schemaObj = schema as unknown as Record<string, unknown>\n\n // Build quick reference section\n quickReference += `\\n\\nš UNDERSTAND THIS SCHEMA BEFORE WRITING JQ QUERIES:\\n`\n\n // Structure hints\n if (schemaObj._keysAreNumeric) {\n quickReference += ` ā¢ Structure: Object with numeric keys (\"0\", \"1\", ...) - use .[\"0\"]\\n`\n } else if (schemaObj.type === 'array') {\n quickReference += ` ā¢ Structure: Array with ${schemaObj.length} items\\n`\n } else if (schemaObj.type === 'object' && schemaObj.properties) {\n const props = schemaObj.properties as Record<string, unknown>\n const keys = Object.keys(props).slice(0, 5).join(', ')\n quickReference += ` ā¢ Structure: Object with keys: ${keys}\\n`\n }\n\n // Always null fields\n if (nullFields.alwaysNull.length > 0) {\n const fieldList = nullFields.alwaysNull.slice(0, 5).join(', ')\n const more =\n nullFields.alwaysNull.length > 5\n ? ` (+${nullFields.alwaysNull.length - 5} more)`\n : ''\n quickReference += ` ā¢ Always null: ${fieldList}${more}\\n`\n }\n\n // Nullable fields\n if (nullFields.nullable.length > 0) {\n const fieldList = nullFields.nullable.slice(0, 5).join(', ')\n const more =\n nullFields.nullable.length > 5\n ? ` (+${nullFields.nullable.length - 5} more)`\n : ''\n quickReference += ` ā¢ Sometimes null: ${fieldList}${more}\\n`\n }\n\n // Suggest exploratory queries\n if (schemaObj._keysAreNumeric) {\n quickReference += ` ā¢ Explore: keys, .[\"0\"] | keys, .[\"0\"]\\n`\n } else if (schemaObj.type === 'array' && (schemaObj.length as number) > 0) {\n quickReference += ` ā¢ Explore: length, .[0] | keys, .[0]\\n`\n } else {\n quickReference += ` ā¢ Explore: keys, type\\n`\n }\n\n // Full schema\n schemaInfo = `\\n\\nFull JSON Schema:\\n${JSON.stringify(schema, null, 2)}`\n }\n\n // Count lines in the content\n const lineCount = contentToWrite.split('\\n').length\n\n // Return success message with file path, size, lines, quick reference, and schema\n return {\n content: [\n {\n type: 'text',\n text: `š File: ${filepath}\\nSize: ${contentToWrite.length} characters | Lines: ${lineCount}${quickReference}${schemaInfo}`,\n },\n ],\n }\n } catch (error) {\n // If file writing fails, return the original response\n console.error(`[handleToolResponse] Error writing file:`, error)\n return responseData\n }\n}\n","import { FileWriterConfig, FileWriterResult } from './types.js'\nimport { handleToolResponse } from './writer.js'\n\n/**\n * Create a file writer instance with the given configuration\n * @param config - File writer configuration\n * @returns Object with handleResponse method\n */\nexport function createFileWriter(config: FileWriterConfig) {\n return {\n /**\n * Handle tool response - writes to file if conditions are met\n * @param toolName - Name of the tool that generated the response\n * @param args - Arguments passed to the tool\n * @param responseData - The response data to potentially write to file\n * @returns Either the original response or a file reference response\n */\n handleResponse: async (\n toolName: string,\n args: Record<string, unknown>,\n responseData: unknown,\n ): Promise<FileWriterResult | unknown> => {\n return handleToolResponse(config, toolName, args, responseData)\n },\n }\n}\n\n// Re-export types and utilities\nexport type { FileWriterConfig, FileWriterResult } from './types.js'\nexport { analyzeJsonSchema, extractNullableFields } from './schema.js'\n","import { existsSync, realpathSync } from 'fs'\nimport path from 'path'\n\n/**\n * Validate that a file path is within allowed directories\n * @param filePath - The file path to validate\n * @param allowedPaths - Array of allowed directory paths\n * @returns The validated real path (with symlinks resolved)\n * @throws Error if path is invalid, doesn't exist, or is outside allowed directories\n */\nexport const validatePathWithinAllowedDirs = (\n filePath: string,\n allowedPaths: string[],\n): string => {\n // Require absolute paths for security and clarity\n if (!path.isAbsolute(filePath)) {\n throw new Error(\n `Absolute path required. Received: ${filePath}. Paths must start with \"/\" to prevent ambiguity.`,\n )\n }\n\n // Resolve the absolute path (for normalization and symlink handling)\n const absolutePath = path.resolve(filePath)\n\n // Check if file exists before resolving real path (to handle symlinks)\n if (!existsSync(absolutePath)) {\n throw new Error(`File does not exist: ${filePath}`)\n }\n\n // Get the real path (resolves symlinks)\n let realPath: string\n try {\n realPath = realpathSync(absolutePath)\n } catch (error) {\n throw new Error(`Cannot resolve path: ${filePath}`)\n }\n\n // Check if path is within any of the allowed directories\n for (const allowedPath of allowedPaths) {\n // Resolve and normalize the allowed path\n const allowedPathReal = realpathSync(path.resolve(allowedPath))\n\n // Check if the real path is within this allowed directory\n if (realPath.startsWith(allowedPathReal + path.sep) || realPath === allowedPathReal) {\n console.error(\n `[validatePathWithinAllowedDirs] Path allowed (within ${allowedPathReal}): ${realPath}`,\n )\n return realPath\n }\n }\n\n // Path is not within any allowed directories\n const allowedPathsList = allowedPaths.join(', ')\n throw new Error(\n `Access denied: File path must be within allowed directories (${allowedPathsList}). Attempted path: ${realPath}`,\n )\n}\n","import { spawn } from 'child_process'\nimport { existsSync } from 'fs'\nimport path from 'path'\nimport { JqConfig } from './types.js'\nimport { validatePathWithinAllowedDirs } from '../utils/pathValidation.js'\n\n// Default timeout for JQ execution\nconst DEFAULT_TIMEOUT_MS = 30000\n\n/**\n * Execute a JQ query on a JSON file\n * @param config - JQ configuration\n * @param jqQuery - The JQ query to execute\n * @param filePath - Absolute path to the JSON file\n * @returns Promise with the query result\n */\nexport async function executeJqQuery(\n config: JqConfig,\n jqQuery: string,\n filePath: string,\n): Promise<{ content: Array<{ type: 'text'; text: string }> }> {\n // Input validation\n if (!jqQuery || !filePath) {\n throw new Error('jq_query and file_path are required')\n }\n\n // Sanitize jq query to prevent environment variable access\n const dangerousPatterns = [\n /\\$ENV/i, // $ENV variable access\n /env\\./i, // env.VARIABLE access\n /@env/i, // @env function\n /\\.env\\[/i, // .env[\"VARIABLE\"] access\n /getenv/i, // getenv function\n /\\$__loc__/i, // location info that might leak paths\n /input_filename/i, // input filename access\n ]\n\n const isDangerous = dangerousPatterns.some((pattern) =>\n pattern.test(jqQuery),\n )\n if (isDangerous) {\n throw new Error(\n 'The jq query contains patterns that could access environment variables or system information. Please use a different query.',\n )\n }\n\n // Validate file path\n if (!path.isAbsolute(filePath)) {\n throw new Error(\n `File path must be an absolute path starting with \"/\": ${filePath}`,\n )\n }\n\n if (!existsSync(filePath)) {\n throw new Error(`File not found: ${filePath}`)\n }\n\n // Validate file extension\n if (!filePath.toLowerCase().endsWith('.json')) {\n throw new Error(\n `Only JSON files (.json) are supported for jq processing: ${filePath}`,\n )\n }\n\n // Validate path is within allowed directories\n validatePathWithinAllowedDirs(filePath, config.allowedPaths)\n\n // Execute jq query\n const timeoutMs = config.timeoutMs ?? DEFAULT_TIMEOUT_MS\n\n return new Promise((resolve, reject) => {\n const jqProcess = spawn('jq', [jqQuery, filePath], {\n stdio: ['pipe', 'pipe', 'pipe'],\n timeout: timeoutMs,\n })\n\n let stdout = ''\n let stderr = ''\n\n jqProcess.stdout.on('data', (data) => {\n stdout += data.toString()\n })\n\n jqProcess.stderr.on('data', (data) => {\n stderr += data.toString()\n })\n\n jqProcess.on('close', (code) => {\n if (code === 0) {\n // Success - return clean response directly to AI\n const responseText = stdout.trim()\n\n resolve({\n content: [\n {\n type: 'text' as const,\n text: responseText,\n },\n ],\n })\n } else {\n // Error\n reject(\n new Error(\n `jq command failed with exit code ${code}: ${stderr.trim()}`,\n ),\n )\n }\n })\n\n jqProcess.on('error', (error) => {\n reject(new Error(`Failed to execute jq command: ${error.message}`))\n })\n\n // Handle timeout\n setTimeout(() => {\n if (!jqProcess.killed) {\n jqProcess.kill('SIGTERM')\n reject(new Error(`jq command timed out after ${timeoutMs}ms`))\n }\n }, timeoutMs)\n })\n}\n","import { z } from 'zod'\n\n/**\n * Zod schema for JQ query execution\n */\nexport const ExecuteJqQuerySchema = z.object({\n jq_query: z\n .string()\n .describe(\n 'The jq query to execute on the JSON file. Query will be sanitized to prevent environment variable access.',\n ),\n file_path: z\n .string()\n .describe(\n 'Absolute path starting with \"/\" pointing to the JSON file to process. Must be a valid, existing file with .json extension. The file will be validated for existence and readability before processing.',\n ),\n description: z\n .string()\n .optional()\n .describe(\n 'Optional description; a short explanation of the purpose of the query',\n ),\n})\n\n/**\n * Tool definition for JQ query execution with enhanced prompts\n * This includes schema-first development hints for better LLM usage\n */\nexport const JQ_TOOL_DEFINITION = {\n name: 'execute_jq_query',\n description:\n 'Execute a jq query on a JSON file with comprehensive debugging and retry strategies.' +\n 'This tool processes JSON files using jq operations for data extraction, transformation, and filtering. ' +\n '\\n\\nā ļø **CRITICAL SYNTAX RULE**: The jq_query parameter is a STRING. Use PLAIN quotes like .[\"0\"] - DO NOT ESCAPE them as .[\\\"0\\\"] or .[\\\\\"0\\\\\"]. The MCP framework handles escaping automatically.' +\n '\\n\\nš **SCHEMA-FIRST WORKFLOW**: READ the schema from the file write response. For nullable fields use: select(.field != null) or .field // \"default\"' +\n '\\n\\nCRITICAL: When queries fail or return null/empty results, DO NOT abandon the jq approach immediately. Instead, follow the debugging workflow below.' +\n '\\n\\n## JQ SYNTAX REFERENCE (Fix Common Errors):' +\n '\\n**QUOTE SYNTAX (MOST COMMON ERROR):**' +\n '\\n- The jq_query is passed as a STRING to the jq binary' +\n '\\n- Use PLAIN quotes: .[\"key\"] NOT .[\\\"key\\\"] or .[\\\\\"key\\\\\"]' +\n '\\n- DO NOT escape quotes - the parameter is already a string' +\n '\\n- ā
CORRECT: .[\"0\"], .[\"field\"], .field' +\n '\\n- ā WRONG: .[\\\"0\\\"], .[\\\\\"field\\\\\"], .\\\\\\\"field\\\\\\\"' +\n '\\n\\n**ARRAY SLICING (Not Shell Commands):**' +\n '\\n- First N items: .[:5] NOT head -5 or head(5)' +\n '\\n- Last N items: .[-5:] NOT tail -5' +\n '\\n- Skip first N: .[5:] NOT tail +6' +\n '\\n- With limit: limit(10; .) NOT head(10)' +\n '\\n- ā
CORRECT: .[:10], limit(20; .), .[-5:]' +\n '\\n- ā WRONG: head -10, head(20), tail -5' +\n '\\n\\n**COMMON FUNCTION MISTAKES:**' +\n '\\n- ā head, tail, wc, cut, grep, awk, sed ā These are SHELL commands, not jq!' +\n '\\n- ā
.[:N] ā Take first N (array slice)' +\n '\\n- ā
limit(N; .) ā Limit to N items' +\n '\\n- ā
length ā Count items' +\n '\\n- ā
sort_by(.field) ā Sort by field' +\n '\\n- ā
group_by(.field) ā Group by field' +\n '\\n\\n**STRING OPERATIONS:**' +\n '\\n- Regex: test(\"pattern\") NOT test(\\'pattern\\')' +\n '\\n- Contains: contains(\"text\") or test(\"text\")' +\n '\\n- Split: split(\",\")' +\n '\\n- Join: join(\",\")' +\n '\\n\\n**OBJECT CONSTRUCTION:** Arithmetic needs extra parens: {count: ((.items | length) + 1)} or use variables' +\n '\\n**TYPE SAFETY:** Check schema types. Error \"Cannot index X with Y\" = wrong type, use: type == \"object\"' +\n '\\n\\n## DEBUGGING WORKFLOW (Use when queries fail or return unexpected results):' +\n '\\n1. **Structure Inspection**: Start with `keys`, `type`, `length` to understand the data structure' +\n '\\n2. **Single Record Access**: Test `.[\"0\"]`, `.[\"1\"]` to access specific items (for object with numeric string keys)' +\n '\\n3. **Field Exploration**: Check `.[\"0\"].Values`, `.[\"0\"].Keys` to understand nested structures' +\n '\\n4. **Build Incrementally**: Start with simple queries, add complexity step by step' +\n '\\n5. **Test Without Filters**: Remove `select()` clauses to see if data exists' +\n '\\n\\n## CYPHER RESULT STRUCTURES (Common patterns from Neo4j/graph queries):' +\n '\\n- **Objects with numeric string keys**: {\"0\": {...}, \"1\": {...}, \"2\": {...}} - Use `.[\"0\"]`, NOT `.[0]`' +\n '\\n- **Values/Keys arrays**: Each result has `.Values` and `.Keys` arrays with corresponding data' +\n '\\n- **Null handling**: Many Values arrays contain null - always check for null before processing' +\n '\\n\\n## OBJECT vs ARRAY ACCESS PATTERNS:' +\n '\\nā
**For objects with numeric keys**: `.[\"0\"].Values`, `to_entries[] | .value`, `.[keys[0]]`' +\n '\\nā **Wrong**: `.[0].Values` (treats object as array - will fail)' +\n '\\nā
**Iteration over objects**: `to_entries[] | .value | ...` or `.[] | ...`' +\n '\\nā
**Safe null checking**: `select(.Values[0] != null)` or `select(.Values // [] | length > 0)`' +\n '\\n\\n## RETRY STRATEGIES (Try multiple approaches):' +\n '\\n1. **Different iteration methods**: `.[]`, `to_entries[] | .value`, `.[keys[]]`' +\n '\\n2. **Incremental filtering**: Start with no filters, add conditions one by one' +\n '\\n3. **Alternative null handling**: Use `// empty`, `select(. != null)`, or `try ... catch`' +\n '\\n4. **Simplified queries**: Break complex queries into smaller, testable parts' +\n '\\n\\n## COMPREHENSIVE EXAMPLES:' +\n '\\n**Debugging sequence for Cypher results**:' +\n '\\n- `keys` ā [\"0\", \"1\", \"2\", ...] (shows object structure)' +\n '\\n- `.[\"0\"]` ā {\"Values\": [...], \"Keys\": [...]} (shows single result format)' +\n '\\n- `.[\"0\"].Values` ā [value1, value2, null, ...] (shows actual data)' +\n '\\n- `to_entries[] | .value | select(.Values[0] != null)` ā final query' +\n '\\n\\n**Common transformations**:' +\n '\\n- Extract non-null records: `to_entries[] | .value | select(.Values[0] != null)`' +\n '\\n- Build objects from Values/Keys: `.[\"0\"] | {(.Keys[0]): .Values[0], (.Keys[1]): .Values[1]}`' +\n '\\n- Count results: `to_entries | length` or `keys | length`' +\n '\\n- Filter by position: `to_entries[] | select(.key | tonumber < 5) | .value`' +\n '\\n\\n**IMPORTANT**: If a query returns null/empty, try simpler versions first to verify data exists before assuming the approach is wrong.',\n inputSchema: {\n type: 'object',\n properties: {\n jq_query: {\n type: 'string',\n description:\n 'The jq query to execute on the JSON file. Query will be sanitized to prevent environment variable access.',\n },\n file_path: {\n type: 'string',\n description:\n 'Absolute path starting with \"/\" pointing to the JSON file to process. Must be a valid, existing file with .json extension. The file will be validated for existence and readability before processing.',\n },\n description: {\n type: 'string',\n description:\n 'Optional description; a short explanation of the purpose of the query',\n },\n },\n required: ['jq_query', 'file_path'],\n },\n}\n","import { JqConfig } from './types.js'\nimport { executeJqQuery } from './handler.js'\nimport { ExecuteJqQuerySchema, JQ_TOOL_DEFINITION } from './tool.js'\n\n/**\n * Create a JQ tool instance with the given configuration\n * @param config - JQ configuration\n * @returns Object wi