Get statistics on framework usage based on annotations/decorators across the codebase
AI agents call get_framework_usage to retrieve information from CodeRAG without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns statistical information about framework usage patterns in the codebase. It is purely informational and read-only, with no capability to alter state, execute code, or trigger external operations. The retrieval of metadata and metrics from the Neo4J knowledge graph carries minimal risk if misused by an AI agent.
From the tool's definition The tool 'get_framework_usage' retrieves statistics on framework usage based on annotations/decorators—a query operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access get_framework_usage gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and CodeRAG, and nothing reaches the server without passing your rules. This is the rule we recommend for get_framework_usage:
{
"version": "1",
"default": "deny",
"tools": {
"get_framework_usage": {}
}
} get_framework_usage 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.
Get statistics on framework usage based on annotations/decorators across the codebase. It is categorised as a Read tool in the CodeRAG MCP Server, which means it retrieves data without modifying state.
Register the CodeRAG MCP server in PolicyLayer and add a rule for get_framework_usage: 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 CodeRAG. Nothing to install.
get_framework_usage 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 get_framework_usage 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 get_framework_usage. 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.
get_framework_usage is provided by the CodeRAG MCP server (jonnoc/coderag). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from CodeRAG, 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.
38 CodeRAG tools catalogued and risk-classified — across an index of 43,000+ MCP servers.