Gets language settings
AI agents call get_language to retrieve information from Gmail MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves language settings from Gmail configuration, which is a read-only operation that does not create, modify, delete, or execute any actions. The low severity reflects minimal risk even if misused—an agent gaining access to language preferences poses no significant security threat.
From the tool's definition Tool name 'get_language' and description 'Gets language settings' indicate a query operation that retrieves configuration data without modification or side effects.
Attacks that exploit this kind of access
Gets language settings. It is categorised as a Read tool in the Gmail MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Gmail MCP Server MCP server in PolicyLayer and add a rule for get_language: 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 Gmail MCP Server. Nothing to install.
get_language 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 get_language 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 get_language. 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.
get_language is provided by the Gmail MCP Server MCP server (nk900600/gmail-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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