get_deployment_mode
Returns only the deployment mode from runtime context
This record as markdown: /tools/frontmcp/get-deployment-mode.md
What get_deployment_mode does on Frontmcp
AI agents call get_deployment_mode to retrieve information from Frontmcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_deployment_mode is rated Low
This tool retrieves runtime configuration information (deployment mode) with no side effects, no data mutation, and no execution of code or commands. It is a pure read operation with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'get_deployment_mode' and description 'Returns only the deployment mode from runtime context' indicate a simple read operation that queries configuration state without modification or execution.
Attacks that exploit this kind of access
The rule that runs get_deployment_mode safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Frontmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_deployment_mode, this is the rule to start with:
get_deployment_mode is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Frontmcp, apply this rule, and every get_deployment_mode call is checked against it from then on.
Questions about get_deployment_mode
Returns only the deployment mode from runtime context. It is categorised as a Read tool in the Frontmcp MCP Server, which means it retrieves data without modifying state.
Register the Front MCP server in PolicyLayer and add a rule for get_deployment_mode: 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 Frontmcp. Nothing to install.
get_deployment_mode 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_deployment_mode 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_deployment_mode. 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_deployment_mode is provided by the Front MCP server (agentfront/frontmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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