AI agents call greet as a supporting operation in Google MCP Remote workflows.
This tool only produces a greeting message to the user. It has no side effects, does not read sensitive data, modify state, execute code, or involve any financial operations. It is a benign, informational output tool that fits none of the primary risk categories.
From the tool's definition "Greet the use with a message" — purely generates a greeting message with no data retrieval, modification, execution, or financial action
Documented attack patterns abuse exactly the kind of access greet gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Google MCP Remote, and nothing reaches the server without passing your rules. This is the rule we recommend for greet:
{
"version": "1",
"default": "deny",
"tools": {
"greet": {
"limits": [
{
"counter": "greet_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} greet gets a rate cap, and everything else on the server is denied unless you say otherwise.
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Greet the use with a message. It is categorised as a Other tool in the Google MCP Remote MCP Server, which means it performs auxiliary operations.
Register the Google MCP Remote MCP server in PolicyLayer and add a rule for greet: 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 MCP Remote. Nothing to install.
greet is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the greet 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 greet. 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.
greet is provided by the Google MCP Remote MCP server (vakharwalad23/google-mcp-remote). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Google MCP Remote, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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35 Google MCP Remote tools catalogued and risk-classified — across an index of 43,000+ MCP servers.