Replace a specific function's source code. Only that function is modified.
AI agents use script_edit_function to create or update resources in Gworkspace — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gworkspace environment.
The tool modifies code by replacing function source code in Google Apps Script. While it changes code logic and could potentially introduce bugs or unintended behavior if misused by an AI agent, the modification is reversible (the original code can be restored via version history or by re-editing the function). This makes it Write rather than Execute—it doesn't directly run or trigger code execution.
From the tool's definition Tool description states "Replace a specific function's source code. Only that function is modified." This is a modification operation that creates or updates code reversibly.
Attacks that exploit this kind of access
Replace a specific function's source code. Only that function is modified. It is categorised as a Write tool in the Gworkspace MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Gworkspace MCP server in PolicyLayer and add a rule for script_edit_function: 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 Gworkspace. Nothing to install.
script_edit_function 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 script_edit_function 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 script_edit_function. 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.
script_edit_function is provided by the Gworkspace MCP server (leoonic/gworkspace-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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