AI agents use go_work to create or update resources in MCP DevTools Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP DevTools Server environment.
Managing go.work files is a Write operation because it modifies project configuration state. While reversible (changes can be undone via version control), it can affect build behavior and dependency resolution across multiple Go modules.
From the tool's definition Tool manages Go workspaces via go.work files, which are configuration files that define module layouts. The description uses 'manage' which implies create, read, and modify operations on workspace configurations.
Documented attack patterns abuse exactly the kind of access go_work 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_work:
{
"version": "1",
"default": "deny",
"tools": {
"go_work": {
"limits": [
{
"counter": "go_work_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}go_work 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.
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Manage Go workspaces (go.work files). It is categorised as a Write tool in the MCP DevTools Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP DevTools Server MCP server in PolicyLayer and add a rule for go_work: 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_work 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 go_work 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_work. 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_work 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.
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79 MCP DevTools Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.