Analyzes project dependencies for known security vulnerabilities. Provides detailed information about each vulnerability with severity ratings. Suggests mitigation strategies and secure alternatives. Uses the configured Vertex AI model (${modelIdPlaceholder}) with Google Search. Requires
AI agents call dependency_vulnerability_scan to retrieve information from Vertex AI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Although this tool interfaces with security scanning capabilities, it functions as an informational read-only service that queries dependency data and returns vulnerability reports. The tool does not execute code against systems, does not modify dependencies, and does not delete or overwrite anything.
From the tool's definition Tool analyzes and retrieves information about dependencies and vulnerabilities without modifying any data. Description states it 'analyzes' and 'provides information' and 'suggests' mitigation strategies.
Documented attack patterns abuse exactly the kind of access dependency_vulnerability_scan gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Vertex AI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for dependency_vulnerability_scan:
{
"version": "1",
"default": "deny",
"tools": {
"dependency_vulnerability_scan": {}
}
}dependency_vulnerability_scan is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Analyzes project dependencies for known security vulnerabilities. Provides detailed information about each vulnerability with severity ratings. Suggests mitigation strategies and secure alternatives. Uses the configured Vertex AI model (${modelIdPlaceholder}) with Google Search. Requires. It is categorised as a Read tool in the Vertex AI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Vertex AI MCP Server MCP server in PolicyLayer and add a rule for dependency_vulnerability_scan: 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.
dependency_vulnerability_scan is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the dependency_vulnerability_scan 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 dependency_vulnerability_scan. 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.
dependency_vulnerability_scan 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.