auto_select_workspace
Automatically select the most appropriate VS Code workspace
This record as markdown: /tools/agentics-ai-code-mcp/auto-select-workspace.md
What auto_select_workspace does on Code MCP Server
AI agents use auto_select_workspace to create or update resources in Code MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Code MCP Server environment.
Why auto_select_workspace is rated Medium
An AI agent can call auto_select_workspace faster than any human can review: one bad instruction and it creates or modifies resources in Code MCP Server by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs auto_select_workspace safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Code MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For auto_select_workspace, this is the rule to start with:
auto_select_workspace 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Code MCP Server, apply this rule, and every auto_select_workspace call is checked against it from then on.
Questions about auto_select_workspace
Automatically select the most appropriate VS Code workspace. It is categorised as a Write tool in the Code MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Code MCP Server MCP server in PolicyLayer and add a rule for auto_select_workspace: 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 Code MCP Server. Nothing to install.
auto_select_workspace 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 auto_select_workspace 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 auto_select_workspace. 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.
auto_select_workspace is provided by the Code MCP Server MCP server (agentics-ai/code-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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