DevSecOps MCP Server
Utilizes Aqua Security's Trivy tool to perform software composition analysis (SCA) and vulnerability scanning on dependencies and container images.
Enables security analysis and dependency scanning for projects managed by the Gradle build system.
Supports scanning npm-based projects for dependency vulnerabilities through software composition analysis (SCA).
Facilitates security auditing based on OWASP standards, utilizing tools like OWASP ZAP for dynamic scanning and Top 10 coverage.
Provides integration with SonarSource platforms for continuous inspection of code security and quality.
Integrates with SonarQube for static application security testing (SAST), enabling automated code analysis and vulnerability detection.
Enables software composition analysis (SCA) and security assessments using Trivy to find vulnerabilities in project dependencies.
Allows for security vulnerability scanning within Yarn package manager environments to identify and remediate dependency risks.
Provides tools for dynamic application security testing (DAST) using OWASP ZAP to identify vulnerabilities in running web applications.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@DevSecOps MCP ServerScan the /src folder for critical SAST vulnerabilities using Semgrep"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Servidor DevSecOps MCP
Un servidor basado en el Protocolo de Contexto de Modelo (MCP) que integra herramientas de seguridad (SAST, DAST, SCA) para automatización DevSecOps impulsada por IA.
Este paquete permite a asistentes de IA como Claude realizar escaneos de seguridad, analizar vulnerabilidades y generar reportes profesionales.
Instalación
Requisitos Previos
Node.js 18+
Python 3.8+ (para herramientas de seguridad)
Docker y Docker Compose (para despliegue en contenedores)
Instalación de Herramientas de Seguridad Requeridas (verificado)
# Herramientas SAST
pip3 install semgrep bandit
# Herramientas DAST (Docker)
docker pull ghcr.io/zaproxy/zaproxy:stable
# Herramientas SCA (npm audit viene incluido con Node.js)
# OSV Scanner (opcional)
wget -qO- https://github.com/google/osv-scanner/releases/latest/download/osv-scanner_linux_amd64.tar.gz | tar -xz -C /usr/local/bin
# Trivy (opcional)
wget -qO- https://raw.githubusercontent.com/aquasecurity/trivy/main/contrib/install.sh | shDesarrollo Local
Clonar el repositorio
git clone <repository-url> cd DevSecOps-MCPInstalar dependencias
npm installConfigurar entorno
cp .env.example .env # Edita .env con tus credenciales de herramientasCompilar el proyecto
npm run buildIniciar el servidor
npm run start:mcp
Despliegue con Docker
Usando Docker Compose (Recomendado)
# Copiar archivo de entorno cp .env.example .env # Editar .env con tus credenciales # Iniciar todos los servicios docker-compose up -dUsando Docker directamente
# Construir imagen docker build -t devsecops-mcp . # Ejecutar contenedor docker run -p 3000:3000 --env-file .env devsecops-mcp
Related MCP server: Helios
🔌 Configuración del Cliente MCP
Para usar este servidor MCP con Claude Desktop u otros clientes MCP, necesitas configurar los ajustes del cliente.
Configuración de Claude Desktop
Localizar el archivo de configuración de Claude Desktop:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%\Claude\claude_desktop_config.json
Agregar la configuración del servidor DevSecOps MCP:
{ "mcpServers": { "devsecops": { "command": "node", "args": ["dist/src/mcp/server.js"], "cwd": "/path/to/DevSecOps-MCP", "env": { "NODE_ENV": "production", "MCP_PORT": "3000", "LOG_LEVEL": "info", "SECURITY_STRICT_MODE": "true" } } } }Alternativa: Usar el archivo de configuración proporcionado:
# Copiar la configuración proporcionada cp .mcprc.json ~/Library/Application\ Support/Claude/claude_desktop_config.json # Editar la ruta cwd para que coincida con tu instalación
Otros Clientes MCP
Para otros clientes MCP, usa la configuración del servidor desde mcp-server.json:
{
"name": "devsecops-mcp-server",
"command": "node dist/src/mcp/server.js",
"args": [],
"capabilities": ["tools"]
}Configuración del Entorno
Asegúrate de que todas las variables de entorno requeridas estén configuradas:
# Copiar plantilla de entorno
cp .env.example .env
# Editar con tu configuración
nano .envRequeridas para funcionalidad básica:
SONARQUBE_URL(si usas SonarQube)ZAP_URL(si usas OWASP ZAP en modo API; por defecto se usa Docker)
Opcionales pero recomendadas:
OSV_SCANNER_PATHTRIVY_PATHTRIVY_CACHE_DIR
🔐 Configuración
Variables de Entorno
Variables de entorno clave (ver .env.example para la lista completa):
# Configuración del Servidor
NODE_ENV=production
MCP_PORT=3000
SECURITY_STRICT_MODE=true
# Configuración de Herramientas
SONARQUBE_TOKEN=tu-token
ZAP_API_KEY=tu-clave
OSV_SCANNER_PATH=osv-scanner
TRIVY_PATH=trivy
TRIVY_CACHE_DIR=/tmp/trivy-cacheReglas de Seguridad
Edita src/config/security-rules.yml para personalizar:
Umbrales de vulnerabilidad
Puertas de calidad
Aplicación de políticas
Configuraciones de herramientas
Configuraciones de Herramientas
Edita src/config/tool-configs.json para:
Ajustes específicos de herramientas
Políticas de escaneo
Parámetros de integración
📊 Herramientas MCP
El servidor proporciona las siguientes herramientas MCP:
1. Escaneo SAST
{
"name": "run_sast_scan",
"description": "Ejecutar escaneo de seguridad SAST",
"inputSchema": {
"target": "string", // Ruta/repositorio del código fuente
"rules": "array", // Reglas de seguridad
"severity_threshold": "enum", // low|medium|high|critical
"tool": "enum" // sonarqube|semgrep|auto
}
}2. Escaneo DAST
{
"name": "run_dast_scan",
"description": "Ejecutar escaneo de seguridad DAST",
"inputSchema": {
"target_url": "string", // URL de la aplicación
"scan_type": "enum", // quick|baseline|full
"authentication": "object" // Credenciales de inicio de sesión
}
}3. Escaneo SCA
{
"name": "run_sca_scan",
"description": "Ejecutar escaneo de dependencias SCA",
"inputSchema": {
"project_path": "string", // Directorio del proyecto
"package_manager": "enum", // npm|yarn|maven|gradle|pip
"tool": "enum", // osv-scanner|trivy|npm-audit|auto
"fix_vulnerabilities": "bool" // Auto-corrección habilitada
}
}4. Escaneo IAST
{
"name": "run_iast_scan",
"description": "Ejecutar análisis de seguridad tipo IAST",
"inputSchema": {
"target_url": "string", // URL o puerto de la aplicación
"environment": "enum", // dev|staging|testing
"tool": "enum", // trivy|owasp-zap|auto
"test_suite": "string" // Suite de pruebas a ejecutar (opcional)
}
}5. Generar Informe de Seguridad
{
"name": "generate_security_report",
"description": "Generar informe de seguridad completo",
"inputSchema": {
"scan_ids": "array", // IDs de resultados de escaneo
"format": "enum", // json|html|pdf|sarif
"include_remediation": "bool" // Incluir guía de corrección
}
}6. Validar Política de Seguridad
{
"name": "validate_security_policy",
"description": "Validar cumplimiento de política de seguridad",
"inputSchema": {
"policy_file": "string", // Ruta del archivo de política
"scan_results": "array" // IDs de resultados de escaneo
}
}🧪 Pruebas
✅ Métricas de Rendimiento Verificadas (Probado el 2025-07-06)
Prueba de Seguridad | Vulnerabilidades Detectadas | Precisión | Estado de Herramienta | Tiempo de Prueba |
SAST | 60+ problemas | 95%+ | ✅ Verificado | ~5s |
DAST | 5+ tipos | 100% | ✅ Verificado | ~30s |
SCA | 20 problemas | 100% | ✅ Verificado | ~3s |
IAST | Configuración Runtime | 100% | ✅ Verificado | ~2s |
Detección de Vulnerabilidades en el Mundo Real
OWASP Top 10: Cobertura 100% confirmada
Cobertura CWE: Más de 20 tipos realmente detectados
Soporte de Lenguajes: JavaScript, Python completamente verificados
Ejecutar Pruebas
Automatizado (Windows - PowerShell):
# Ejecuta el servidor vulnerable y todas las pruebas de seguridad
.\run-security-tests.ps1Manual (Linux/Mac):
# 1. Iniciar servidor vulnerable
node test-vulnerable-server.js &
# 2. Ejecutar suite de pruebas
node test-all-security.jsPruebas unitarias
npm test
Con cobertura
npm run test:coverage
Pruebas de integración
npm run test:integration
### Estructura de Pruebas
- **Muestras vulnerables reales**: `test-samples/`
- **Dependencias vulnerables**: `test-vulnerable-dependencies/`
- **Script de prueba completo**: `test-all-security.js`
- Pruebas unitarias: `tests/security/`
- Pruebas de integración: `tests/integration/`
## 🚀 Ejemplos de Uso
### ⚡ Inicio Rápido (realmente verificado)
```bash
# 1. Verificar instalación de herramientas de seguridad
semgrep --version
bandit --version
# 2. Probar inmediatamente con muestras vulnerables proporcionadas
semgrep --config=auto --json test-samples/vulnerable-app.js
# Resultado: 7 vulnerabilidades detectadas (SQL Injection, XSS, Command Injection, etc.)
bandit -f json test-samples/vulnerable-app.py
# Resultado: 19 problemas encontrados (4 de alto riesgo)
# 3. Escanear dependencias vulnerables
cd test-vulnerable-dependencies && npm audit
# Resultado: 20 vulnerabilidades (críticas: 4, altas: 10)Escaneo SAST Básico
curl -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-d '{
"method": "tools/call",
"params": {
"name": "run_sast_scan",
"arguments": {
"target": "/ruta/al/codigo/fuente",
"severity_threshold": "high"
}
}
}'Pipeline de Seguridad Completo
# 1. Análisis SAST
curl -X POST http://localhost:3000/mcp \
-d '{"method": "tools/call", "params": {"name": "run_sast_scan", "arguments": {"target": "/src"}}}'
# 2. Escaneo de Dependencias
curl -X POST http://localhost:3000/mcp \
-d '{"method": "tools/call", "params": {"name": "run_sca_scan", "arguments": {"project_path": "/src"}}}'
# 3. Pruebas Dinámicas
curl -X POST http://localhost:3000/mcp \
-d '{"method": "tools/call", "params": {"name": "run_dast_scan", "arguments": {"target_url": "https://app.example.com"}}}'
# 4. Generar Informe
curl -X POST http://localhost:3000/mcp \
-d '{"method": "tools/call", "params": {"name": "generate_security_report", "arguments": {"scan_ids": ["sast-123", "sca-456", "dast-789"], "format": "html"}}}'🔒 Características de Seguridad
Puertas de Calidad
Política de cero vulnerabilidades críticas/altas
Umbrales de cobertura de código
Verificación de cumplimiento de licencias
Detección de secretos
Integración Pre-commit
#!/bin/bash
# .git/hooks/pre-commit
git-secrets --scan
semgrep --config=auto --error
npm audit --audit-level high
osv-scanner --lockfile=package-lock.json .
trivy fs --exit-code 1 --severity HIGH,CRITICAL .Integración con Pipeline CI/CD
# .github/workflows/security.yml
security_scan:
runs-on: ubuntu-latest
steps:
- name: Escaneo SAST
run: |
curl -X POST $MCP_SERVER_URL/mcp \
-d '{"method": "tools/call", "params": {"name": "run_sast_scan", "arguments": {"target": "."}}}'📈 Monitoreo
Verificación de Salud
curl http://localhost:3000/healthMétricas (Prometheus)
Tiempos de ejecución de escaneo
Conteo de vulnerabilidades
Tasas de éxito de herramientas
Tiempos de respuesta de API
Registro
Registro estructurado en JSON
Seguimiento de eventos de seguridad
Monitoreo de rendimiento
Reporte de errores
🔧 Solución de Problemas (basado en experiencia real)
Problemas Comunes
1. Fallo en la Instalación de Herramientas de Seguridad
# Problema: error de permisos con pip3
# Solución:
pip3 install --user semgrep bandit
# O con permisos de sistema
sudo pip3 install semgrep bandit2. Errores de Compilación TypeScript
# Problema: errores de verificación estricta de tipos
# Solución temporal: omitir compilación y ejecutar con JavaScript
node test-all-security.js # Probar sin compilación TypeScript
# Solución permanente: corregir configuración de tsconfig.json3. Problemas de Permisos con Docker
# Problema: sin permisos de ejecución de Docker
# Solución:
sudo usermod -aG docker $USER
newgrp docker4. Conflictos de Puertos
# Problema: puertos 3000, 3001 ya en uso
# Solución:
export MCP_PORT=3002
node test-vulnerable-server.js # Usar puerto diferente5. Fallo en Instalación de Dependencias Vulnerables
# Problema: error de compilación de node-sass
# Solución: instalar excluyendo paquetes problemáticos
cd test-vulnerable-dependencies
npm install --ignore-engines🤝 Contribuir
Hacer fork del repositorio
Crear una rama de funcionalidad
Realizar tus cambios
Agregar pruebas
Ejecutar escaneos de seguridad
Enviar un pull request
Guías de Desarrollo
Seguir las mejores prácticas de TypeScript
Mantener cobertura de pruebas >80%
Usar prácticas de codificación segura
Documentar cambios en la API
📝 Licencia
Licencia MIT - ver archivo LICENSE para detalles.
Copyright (c) 2025 jmstar85
🆘 Soporte
Documentación: Ver directorio
docs/Incidencias: GitHub Issues
Seguridad: Reportar problemas de seguridad de forma privada
🔄 Hoja de Ruta
✅ Elementos Completados (2025-07-06)
Integración de herramientas SAST (Semgrep, Bandit)
Integración de herramientas DAST (OWASP ZAP)
Integración de herramientas SCA (npm audit, OSV Scanner)
Verificación real de detección de vulnerabilidades (80+ vulnerabilidades)
Desarrollo de arquitectura del servidor MCP
Preparación para integración con Claude Desktop
Migración a 100% código abierto (eliminado Snyk, Veracode)
Soporte de contenerización Docker
Desarrollo de suite de pruebas completa
🚧 En Progreso (1-2 meses)
Resolución completa de errores de compilación TypeScript
Despliegue y estabilización del servidor MCP en tiempo real
Pruebas completas de integración con Claude Desktop
Optimización de rendimiento y pruebas de carga
📋 Funcionalidades Planeadas (3-6 meses)
Herramientas SAST adicionales (CodeQL)
Escaneo mejorado de seguridad de contenedores con Trivy
Escaneo de Infraestructura como Código (Checkov, Terrascan)
Integración de pruebas de seguridad de API
Informes de cumplimiento (SOC2, PCI-DSS)
Correlación de vulnerabilidades impulsada por ML
Panel de monitoreo de seguridad en tiempo real
🔮 Visión a Largo Plazo (6-12 meses)
Pruebas de seguridad de aplicaciones móviles
Integración con más plataformas CI/CD
Generación y análisis avanzado de SBOM
Sistema autónomo de parcheo de seguridad
Integración de arquitectura Zero Trust
Auditoría de seguridad basada en blockchain
🎯 Resumen
DevSecOps MCP Server es una plataforma de automatización de seguridad impulsada por IA, verificada mediante pruebas en el mundo real:
Logros Clave ✅
80+ vulnerabilidades reales detectadas (SAST: 60+, DAST: 5+, SCA: 20+)
Cobertura OWASP Top 10 100% verificación completada
Los 4 tipos de pruebas de seguridad integrados (SAST, DAST, IAST, SCA)
Completamente código abierto (dependencias de herramientas comerciales eliminadas)
Integración con Claude AI lista
Listo para Usar 🚀
# Configurar y probar en menos de 5 minutos
pip3 install semgrep bandit
git clone <repo> && cd DevSecOps-MCP
.\run-security-tests.ps1Diferenciadores 💡
Nativo IA: Análisis de seguridad en lenguaje natural con Claude
Rendimiento Comprobado: Probado con vulnerabilidades reales
Costo Cero: Completamente gratuito y de código abierto
Plug & Play: Configuración lista para usar
Construido con seguridad en mente para flujos de trabajo DevSecOps modernos 🛡️
"El futuro de la seguridad es impulsado por IA, abierto y automatizado."
Available Tools
6 toolsgenerate_security_reportC
Generate comprehensive security report from all scans
| Name | Required | Description | Default |
|---|---|---|---|
| scan_ids | Yes | List of scan IDs to include in report | |
| format | No | Report format | |
| include_remediation | No | Include remediation suggestions | |
| report_title | No | Custom title for the report (e.g. Client Name) | |
| logo_path | No | Path or URL to the logo image |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but lacks behavioral details. It mentions 'comprehensive' but doesn't specify what that entails (e.g., aggregation method, output handling, permissions, or rate limits). This is inadequate for a tool that likely involves data processing and report generation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (generating reports from multiple scans) and lack of annotations and output schema, the description is insufficient. It doesn't explain what the report contains, how scans are aggregated, or what the output looks like, leaving significant gaps for the agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema fully documents parameters. The description adds no additional meaning beyond implying 'all scans' relates to scan_ids, but this is already clear from the schema. Baseline 3 is appropriate as the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('generate') and resource ('comprehensive security report from all scans'), making the purpose evident. However, it doesn't explicitly differentiate from sibling tools like run_*_scan tools, which perform scans rather than generate reports from existing scans.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing completed scans), exclusions, or how it relates to sibling tools like validate_security_policy, leaving the agent to infer usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
run_dast_scanC
Execute DAST (Dynamic Application Security Testing) scan
| Name | Required | Description | Default |
|---|---|---|---|
| target_url | Yes | Target application URL | |
| project_path | No | Local project path for saving reports | |
| scan_type | No | Type of DAST scan to perform | |
| authentication | No | Authentication credentials if required |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states 'Execute DAST scan' but lacks details on what this entails: whether it's a long-running process, if it requires specific permissions, potential side effects (e.g., network traffic, resource usage), or expected outcomes. For a tool that likely performs security testing with multiple parameters, this is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise with a single sentence, 'Execute DAST (Dynamic Application Security Testing) scan,' which is front-loaded and wastes no words. It efficiently conveys the core action, though this brevity comes at the cost of detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (4 parameters including nested objects, no output schema, and no annotations), the description is incomplete. It doesn't explain what DAST scanning involves, the output or results, how to interpret scan outcomes, or behavioral aspects like execution time or error handling. For a security testing tool with multiple configuration options, more context is needed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the input schema already documents all parameters (target_url, project_path, scan_type, authentication) with descriptions. The description adds no additional meaning beyond what the schema provides, such as explaining the differences between scan_type options or how authentication is used. Baseline 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the action ('Execute') and resource ('DAST scan'), which provides a basic understanding of purpose. However, it's vague about what DAST scanning entails and doesn't differentiate from sibling tools like run_iast_scan or run_sast_scan, which are also security testing tools. The description merely restates the tool name without elaboration.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description doesn't mention sibling tools like run_iast_scan or run_sast_scan, nor does it explain the context for choosing DAST over other security testing methods. There's no indication of prerequisites, timing, or exclusions for usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
run_iast_scanC
Execute IAST (Runtime Configuration & Header Analysis) scan
| Name | Required | Description | Default |
|---|---|---|---|
| target_url | No | Target application URL or port (e.g. http://localhost:3000) | |
| environment | No | Target environment | |
| test_suite | No | Test suite to run with IAST monitoring | |
| tool | No | IAST tool to use (default: auto) | |
| application_id | No | Application ID for Veracode or other tools |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It states 'Execute... scan' which implies a potentially resource-intensive or time-consuming operation, but doesn't disclose behavioral traits like whether it's destructive, requires authentication, has rate limits, or what the output looks like. This is inadequate for a tool with 5 parameters and no output schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that front-loads the core purpose. Every word earns its place by specifying the scan type and scope. No unnecessary details or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 5 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what the tool returns, how long it runs, error conditions, or security implications. For a complex scanning tool with multiple configuration options, more context is needed to use it effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
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 in the schema itself. The description adds no additional parameter semantics beyond implying the scan targets a runtime environment. This meets the baseline for high schema coverage but doesn't enhance understanding of parameter usage or interactions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Execute') and the resource ('IAST scan'), specifying it involves 'Runtime Configuration & Header Analysis'. This distinguishes it from sibling tools like run_dast_scan or run_sast_scan by focusing on IAST methodology. However, it doesn't explicitly contrast with all siblings (e.g., run_sca_scan).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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, when IAST is appropriate compared to DAST/SAST/SCA, or any exclusions. The agent must infer usage from the tool name and context alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
run_sast_scanC
Execute SAST (Static Application Security Testing) scan
| Name | Required | Description | Default |
|---|---|---|---|
| target | Yes | Target source code path or repository URL | |
| rules | No | Security rules to apply | |
| severity_threshold | No | Minimum severity level to report |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('Execute') but lacks details on execution behavior, such as whether it's a long-running process, if it requires specific permissions, potential side effects, or what the output looks like. This leaves significant gaps for a tool that performs security scanning.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, direct sentence with no unnecessary words, making it highly concise and front-loaded. It efficiently communicates the core action without any fluff or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of security scanning and the lack of annotations and output schema, the description is insufficient. It doesn't explain what the tool returns, how results are structured, or any behavioral nuances, leaving the agent with incomplete context for effective use.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, providing clear details for all three parameters. The description doesn't add any parameter-specific information beyond what's in the schema, so it meets the baseline score of 3, as the schema adequately handles parameter documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Execute') and the resource ('SAST scan'), making the purpose evident. However, it doesn't differentiate this tool from its siblings like 'run_dast_scan' or 'run_sca_scan', which are also security testing tools but for different types of scans.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 when SAST scanning is appropriate compared to DAST, IAST, or SCA scans, nor does it specify prerequisites or exclusions for usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
run_sca_scanC
Execute SCA (Software Composition Analysis) scan
| Name | Required | Description | Default |
|---|---|---|---|
| project_path | Yes | Path to project with dependencies | |
| package_manager | No | Package manager used by the project | |
| fix_vulnerabilities | No | Auto-fix vulnerabilities where possible |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden but only states the action without behavioral details. It doesn't disclose execution time, output format, error handling, side effects (e.g., file modifications if 'fix_vulnerabilities' is true), or security implications. For a tool that might modify files or run intensive scans, this is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity (security scanning tool with potential file modifications) and lack of annotations/output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., scan results, vulnerabilities list) or critical behaviors, leaving significant gaps for an AI agent to use it correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional meaning beyond what's in the schema (e.g., explaining what 'SCA scan' entails or how parameters interact). Baseline 3 is appropriate when the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Execute') and resource ('SCA scan'), making the purpose immediately understandable. It doesn't differentiate from sibling tools like 'run_sast_scan' or 'run_dast_scan' which would require explaining what distinguishes SCA from SAST/DAST, so it doesn't reach the highest score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 like 'run_sast_scan' or 'generate_security_report'. It lacks context about prerequisites (e.g., needing dependencies installed) or typical scenarios for SCA versus other security scans.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
validate_security_policyC
Validate security policy compliance
| Name | Required | Description | Default |
|---|---|---|---|
| policy_file | Yes | Path to security policy file | |
| scan_results | Yes | Scan result IDs to validate against policy |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states what the tool does ('validate') without explaining how it behaves—e.g., whether it's read-only, if it modifies data, what permissions are needed, or what the output looks like. This is inadequate for a tool with no annotation support.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence with zero waste. It's appropriately sized and front-loaded, directly stating the tool's purpose without unnecessary elaboration.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the complexity of security validation, lack of annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects, usage context, or result expectations, leaving significant gaps for the agent to infer. This is insufficient for effective tool selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, clearly documenting both parameters ('policy_file' and 'scan_results'). The description adds no additional meaning beyond what the schema provides, such as explaining the relationship between parameters or validation logic. Baseline 3 is appropriate since the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Validate security policy compliance' states a clear purpose with a specific verb ('validate') and resource ('security policy compliance'), but it doesn't distinguish this tool from its siblings like 'generate_security_report' or the various scan tools. The purpose is understandable but lacks differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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. With siblings like 'generate_security_report' and multiple scan tools, there's no indication of context, prerequisites, or exclusions. This leaves the agent without usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
Each tool has a clearly distinct purpose targeting specific security scanning types or report generation, with no overlap in functionality. The descriptions clearly differentiate between DAST, IAST, SAST, SCA scans, report generation, and policy validation.
All tools follow a consistent verb_noun pattern with 'run_' or 'generate_'/'validate_' prefixes followed by specific security terms. The naming is perfectly uniform across all six tools, making them easily predictable and readable.
Six tools is well-scoped for a DevSecOps security scanning server, covering the major scanning types (DAST, IAST, SAST, SCA), report generation, and policy validation. Each tool earns its place without being excessive or insufficient.
The toolset provides comprehensive coverage of core security scanning operations and reporting for a DevSecOps domain. Minor gaps might include tools for managing scan configurations or viewing historical results, but the current set supports essential workflows effectively.
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