get_runtime_context
Returns the full runtime context (platform, runtime, deployment, env)
This record as markdown: /tools/frontmcp/get-runtime-context.md
What get_runtime_context does on Frontmcp
AI agents call get_runtime_context 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_runtime_context is rated Low
This tool queries and retrieves environmental and runtime information without modifying state, executing code, or affecting external systems. The potential risk is low because runtime context is typically non-sensitive metadata, though exposure of deployment details could inform reconnaissance. No financial, destructive, or executable side effects are present.
From the tool's definition Tool description states 'Returns the full runtime context' - this is a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs get_runtime_context 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_runtime_context, this is the rule to start with:
get_runtime_context 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_runtime_context call is checked against it from then on.
Questions about get_runtime_context
Returns the full runtime context (platform, runtime, deployment, env). 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_runtime_context: 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_runtime_context 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_runtime_context 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_runtime_context. 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_runtime_context 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.
More on Front, and thousands of servers like it.
This server
Across the catalogue