Get comprehensive Go project information and analysis
AI agents call go_project_info to retrieve information from MCP DevTools Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes Go project information, which is a read-only operation with no side effects. It falls squarely into the Read category as it queries project state rather than modifying, executing, or deleting data. The low severity reflects minimal blast radius—an AI agent misusing this tool could only gather incorrect project information, not cause harm.
From the tool's definition Tool name 'go_project_info' and description 'Get comprehensive Go project information and analysis' indicate a retrieval/query operation that gathers project metadata and analysis without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access go_project_info gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP DevTools Server, and nothing reaches the server without passing your rules. This is the rule we recommend for go_project_info:
{
"version": "1",
"default": "deny",
"tools": {
"go_project_info": {}
}
} go_project_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get comprehensive Go project information and analysis. It is categorised as a Read tool in the MCP DevTools Server MCP Server, which means it retrieves data without modifying state.
Register the MCP DevTools Server MCP server in PolicyLayer and add a rule for go_project_info: 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 MCP DevTools Server. Nothing to install.
go_project_info 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 go_project_info 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 go_project_info. 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.
go_project_info is provided by the MCP DevTools Server MCP server (rshade/mcp-devtools-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP DevTools Server, 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.
79 MCP DevTools Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.