Generates a structured project guidelines document (e.g., Markdown) based on a specified list of technologies and versions (tech stack). Uses web search to find the latest official documentation, style guides, and best practices for each component and synthesizes them into actionable rules and re...
AI agents use generate_project_guidelines to create or update resources in Vertex AI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Vertex AI MCP Server environment.
This tool creates new artifacts (guidelines documents) by synthesizing information from web search and AI processing. It is a Write operation because it produces new, reversible content that can be edited or deleted. It does not execute external code (Execute), delete data (Destructive), move money (Financial), or trigger uncontrolled side effects.
From the tool's definition Generates a structured project guidelines document (e.g., Markdown) based on a specified list of technologies and versions. The tool creates and synthesizes new documentation content without deletion or modification of existing data.
Documented attack patterns abuse exactly the kind of access generate_project_guidelines gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Vertex AI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for generate_project_guidelines:
{
"version": "1",
"default": "deny",
"tools": {
"generate_project_guidelines": {
"limits": [
{
"counter": "generate_project_guidelines_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}generate_project_guidelines stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Generates a structured project guidelines document (e.g., Markdown) based on a specified list of technologies and versions (tech stack). Uses web search to find the latest official documentation, style guides, and best practices for each component and synthesizes them into actionable rules and recommendations. Uses the configured Vertex AI model (${modelIdPlaceholder}) with Google Search. Requires. It is categorised as a Write tool in the Vertex AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Vertex AI MCP Server MCP server in PolicyLayer and add a rule for generate_project_guidelines: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Vertex AI MCP Server. Nothing to install.
generate_project_guidelines is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the generate_project_guidelines rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for generate_project_guidelines. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
generate_project_guidelines is provided by the Vertex AI MCP Server MCP server (shariqriazz/vertex-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 20 Vertex AI MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
20 Vertex AI MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.