present_workspace_choice
Present detected workspaces to user for selection
This record as markdown: /tools/agentics-ai-code-mcp/present-workspace-choice.md
What present_workspace_choice does on Code MCP Server
AI agents call present_workspace_choice to retrieve information from Code MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why present_workspace_choice is rated Low
This tool reads and displays available workspaces to the user for selection purposes. It retrieves/lists detected workspaces without modifying any data or triggering side effects. The action is purely informational/presentational.
From the tool's definition Present detected workspaces to user for selection
Attacks that exploit this kind of access
The rule that runs present_workspace_choice 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 present_workspace_choice, this is the rule to start with:
present_workspace_choice is read-only, so it stays allowed. 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 present_workspace_choice call is checked against it from then on.
Questions about present_workspace_choice
Present detected workspaces to user for selection. It is categorised as a Read tool in the Code MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Code MCP Server MCP server in PolicyLayer and add a rule for present_workspace_choice: 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.
present_workspace_choice 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 present_workspace_choice 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 present_workspace_choice. 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.
present_workspace_choice 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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