// MCP TOOL REFERENCE

VERTEX AI MCP SERVER TOOLS

20 tools from the Vertex AI MCP Server MCP Server, categorised by risk level.

// ALL 20 VERTEX AI MCP SERVER TOOLS

READ 13 tools

Read answer_query_direct Answers a natural language query using only the internal knowledge of the configured Vertex AI model (${mod... Read answer_query_websearch Answers a natural language query using the configured Vertex AI model (${modelIdPlaceholder}) enhanced with... Read architecture_pattern_recommendation Suggests architecture patterns for specific use cases based on industry best practices. Provides implementa... Read code_analysis_with_docs Analyzes code snippets by comparing them with best practices from official documentation found via web sear... Read database_schema_analyzer Reviews database schemas for normalization, indexing, and performance issues. Suggests improvements based o... Read dependency_vulnerability_scan Analyzes project dependencies for known security vulnerabilities. Provides detailed information about each ... Read explain_topic_with_docs Provides a detailed explanation for a query about a specific software topic by synthesizing information pri... Read get_doc_snippets Provides precise, authoritative code snippets or concise answers for technical queries by searching officia... Read microservice_design_assistant Helps design microservice architectures for specific domains. Provides service boundary recommendations and... Read regulatory_compliance_advisor Provides guidance on regulatory requirements for specific industries (GDPR, HIPAA, etc.). Suggests implemen... Read security_best_practices_advisor Provides security recommendations for specific technologies or scenarios. Includes code examples for implem... Read technical_comparison Compares multiple technologies, frameworks, or libraries based on specific criteria. Provides detailed comp... Read testing_strategy_generator Creates comprehensive testing strategies for applications or features. Suggests appropriate testing types (...

WRITE 7 tools

Write documentation_generator Creates comprehensive documentation for code, APIs, or systems. Follows industry best practices for technic... Write generate_project_guidelines Generates a structured project guidelines document (e.g., Markdown) based on a specified list of technologi... Write save_answer_query_direct Answers a natural language query using only the internal knowledge of the configured Vertex AI model (${mod... Write save_answer_query_websearch Answers a natural language query using Google Search results and saves the answer to a file. Uses the confi... Write save_doc_snippet Provides precise code snippets or concise answers for technical queries by searching official documentation... Write save_generate_project_guidelines Generates comprehensive project guidelines based on a tech stack using web search and saves the result to a... Write save_topic_explanation Provides a detailed explanation for a query about a specific software topic using official documentation fo...

// FAQ

How many tools does the Vertex AI MCP Server MCP server have? +

The Vertex AI MCP Server MCP server exposes 20 tools across 2 categories: Read, Write.

How do I enforce policies on Vertex AI MCP Server tools? +

Route the Vertex AI MCP Server server through the PolicyLayer gateway. Define allow, deny, or approval rules per tool in the dashboard; they are enforced on every call before it reaches the server.

What risk categories do Vertex AI MCP Server tools fall into? +

Vertex AI MCP Server tools are categorised as Read (13), Write (7). Each category has a recommended default policy.

Enforce policy on every Vertex AI MCP Server tool call.

Deterministic rules across all 20 Vertex AI MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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42,500+ MCP servers and 110,000+ tools scanned and risk-classified.