This MCP server has significant definition quality gaps. While tool names follow verb_noun convention (scan_*, analyze_*, generate_*, check_*, perform_*), descriptions are present but quite generic. Input schemas are visible in the code with basic type definitions, but critical issues include: (1) Several parameters use free-form strings where enums would be clearer (e.g., 'targets' in scan_security is comma-separated rather than an array with constrained values); (2) No output schemas documented, responses are completely undocumented; (3) Parameter descriptions lack detail about constraints, formats, and valid values; (4) No error handling guidance visible; (5) Parameters like 'secretTypes', 'vulnerabilityTypes', 'packageManagers' are underspecified strings with no indication of valid options; (6) The perform_ai_analysis tool accepts 'findings' as an array but the structure is not defined; (7) No information about rate limits, timeouts, or retry behavior.
Parameters accept comma-separated strings instead of arrays or enums. E.g., 'targets' in scan_security, 'vulnerabilityTypes' in analyze_vulnerabilities, 'packageManagers' in scan_dependencies. No indication of valid values. LLMs will hallucinate invalid options.
Parameter descriptions lack constraint details. E.g., 'secretTypes' has description 'Comma-separated secret types to scan for' with no list of valid types (API keys, passwords, tokens, etc.). Same for 'vulnerabilityTypes', 'packageManagers', 'policyNames'. LLMs must guess valid values.
Recommendations
Document output schema for every tool. Include field names, types, and what each field contains. Example for scan_security: {findings: [{type: string, severity: 'critical'|'high'|'medium'|'low', file: string, line: number, description: string}], summary: {total: number, critical: number, high: number}}
Replace comma-separated string parameters with arrays or enums. E.g., change 'targets' from string to enum: ['code', 'secrets', 'dependencies', 'config', 'policy']. Explicitly list all valid values.
Add constraint descriptions to all parameters. Example: 'secretTypes: Comma-separated secret types to scan for. Valid types: api_key, database_password, oauth_token, aws_credential, private_key, jwt, encryption_key, db_connection_string, api_token'
Expand tool descriptions to 150-300 characters. Explain: (1) What does it do? (2) When to use it instead of similar tools? (3) What does it return? Example: 'Perform a comprehensive security scan on a directory or file. Use this for broad vulnerability detection across code, dependencies, and secrets. Returns a list of findings grouped by severity, with file paths, line numbers, and remediation guidance. Results are paginated; request subsequent pages with the cursor parameter.'
Add pagination parameters (limit, offset, cursor) to tools that may return large result sets. Document the default limit (e.g., 50) and maximum allowed limit (e.g., 500).
Document error scenarios and recovery hints in descriptions. E.g., 'If the path does not exist, the tool returns error_code:NOT_FOUND with a suggestion to list available paths with scan_directories. If a timeout occurs (>5 min), retry with scanType=quick for faster results.'
perform_ai_analysis accepts 'findings' array with no schema documentation. What fields does each finding object have? What is the structure of 'context'? LLMs cannot construct valid payloads.
No error handling guidance. If scan_security hits a timeout, encounters a permission denied, or finds malformed code, what should the agent do? No recovery hints in descriptions.
Tool descriptions are too short and generic. E.g., 'Analyze specific vulnerability types in a codebase' does not explain when to use this vs scan_security, what vulnerabilities it detects, or what output looks like. Average description length is ~60 chars; baseline is 194 chars.
Missing pagination parameters. Tools like scan_security and generate_report may return large result sets. No limit, offset, page_size, or cursor parameters documented. Large responses will blow context window.
No documented timeouts or performance expectations. Security scanning can be slow; agents need to know expected latency and timeout behavior to plan appropriately.
Define the structure of the 'findings' array in perform_ai_analysis. What fields are expected? Example: 'findings: Array of vulnerability objects. Each object must have: {type: string, severity: string, file: string, line: number, description: string, remediation: string}. context: Optional object with codebase_language, framework, environment (dev|staging|prod), and any domain-specific hints.'
Add validation hints for common errors. E.g., for scan_security, document accepted path formats: 'path: Absolute or relative path to a file or directory. If relative, resolved from the current working directory. Example: /home/user/project or ./src'
Clarify tool dependencies and prerequisites. E.g., 'scan_dependencies requires a package.json, requirements.txt, or Gemfile in the specified path. If no package manager files are detected, the tool returns error_code:NO_MANIFEST_FOUND'
Add rate limit and concurrency information. E.g., 'Each scan is limited to 5 minutes. Concurrent scans are limited to 4 per server instance. If you hit a rate limit, the tool returns error_code:RATE_LIMITED with retry_after_seconds'.