Given a technology stack, recommend relevant OWASP security guidelines, cheat sheets, and test cases.
AI agents call assess_stack to retrieve information from Security Framework without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and synthesizes existing security framework data (OWASP guidelines, cheat sheets, test cases) based on a technology stack input. It generates recommendations without creating, modifying, deleting, executing code, or committing financial obligations. This is a straightforward Read operation: querying security databases and returning curated guidance.
From the tool's definition Tool name 'assess_stack' and description indicate it 'recommend[s] relevant OWASP security guidelines, cheat sheets, and test cases' — purely informational output with no data modification, deletion, or external operations triggered.
Documented attack patterns abuse exactly the kind of access assess_stack gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Security Framework, and nothing reaches the server without passing your rules. This is the rule we recommend for assess_stack:
{
"version": "1",
"default": "deny",
"tools": {
"assess_stack": {}
}
}assess_stack is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Given a technology stack, recommend relevant OWASP security guidelines, cheat sheets, and test cases. It is categorised as a Read tool in the Security Framework MCP Server, which means it retrieves data without modifying state.
Register the Security Framework MCP server in PolicyLayer and add a rule for assess_stack: 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 Security Framework. Nothing to install.
assess_stack 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 assess_stack 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 assess_stack. 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.
assess_stack is provided by the Security Framework MCP server (zer0-kr/security-framework-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Security Framework, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
41 Security Framework tools catalogued and risk-classified — across an index of 43,000+ MCP servers.