Remove star from a file in Google Drive.
AI agents use unstar_file to create or update resources in Google Docs MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google Docs MCP Server environment.
Unstarring a file is a reversible metadata modification — the star can be re-added at any time. No content is deleted or overwritten, no code is executed, and no financial transaction occurs. This is a simple Write operation with low blast radius since it only affects a cosmetic/organizational marker on a file.
From the tool's definition Remove star from a file in Google Drive
Attacks that exploit this kind of access
Remove star from a file in Google Drive. It is categorised as a Write tool in the Google Docs MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Google Docs MCP Server MCP server in PolicyLayer and add a rule for unstar_file: 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 Google Docs MCP Server. Nothing to install.
unstar_file 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 unstar_file 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 unstar_file. 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.
unstar_file is provided by the Google Docs MCP Server MCP server (nickweedon/google-docs-mcp-docker). 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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