gemini_proofread_feature_plan

THE RISK

Low Risk

Why gemini_proofread_feature_plan needs a policy

This tool reads and analyzes feature plans/specifications to provide feedback and improvements. It does not create, modify, execute, or delete any data — it is an AI-powered review/analysis operation with no side effects beyond returning suggestions.

From the tool's definition Review and improve feature plans and specifications using Gemini

Documented attack patterns abuse exactly the kind of access gemini_proofread_feature_plan gives an agent:

POLICY

How to control gemini_proofread_feature_plan

PolicyLayer is an MCP gateway — it sits between your AI agents and Gemini Code Assist MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for gemini_proofread_feature_plan:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "gemini_proofread_feature_plan": {}
  }
}

gemini_proofread_feature_plan is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Gemini Code Assist MCP — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Gemini Code Assist MCP tools

Read gemini_analyze_bug Analyze bugs and suggest fixes using Gemini. Read gemini_explain_code Explain code functionality and implementation using Gemini. Read gemini_review_code Analyze code quality, style, and potential issues using Gemini.

All 4 Gemini Code Assist MCP tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about gemini_proofread_feature_plan

What does the gemini_proofread_feature_plan tool do? +

Review and improve feature plans and specifications using Gemini. It is categorised as a Read tool in the Gemini Code Assist MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on gemini_proofread_feature_plan? +

Register the Gemini Code Assist MCP server in PolicyLayer and add a rule for gemini_proofread_feature_plan: 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 Gemini Code Assist MCP. Nothing to install.

What risk level is gemini_proofread_feature_plan? +

gemini_proofread_feature_plan is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit gemini_proofread_feature_plan? +

Yes. Add a rate_limit block to the gemini_proofread_feature_plan 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.

How do I block gemini_proofread_feature_plan completely? +

Set action: deny in the PolicyLayer policy for gemini_proofread_feature_plan. 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.

What MCP server provides gemini_proofread_feature_plan? +

gemini_proofread_feature_plan is provided by the Gemini Code Assist MCP server (vinnyvangogh/gemini-code-assist-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gemini Code Assist MCP tool call.

Start from Gemini Code Assist MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →