Get full configuration for one Runtime Manager deployment — properties, environment variables, specs, and target config. Call runtime_list_deployments first to obtain the deploymentId.
AI agents call runtime_get_deployment to retrieve information from Anypoint 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 and queries deployment configuration (properties, environment variables, specs, target config) without making any changes. It is a pure read operation that provides observability into existing deployments. The severity is low because reading configuration data carries minimal risk—no resources are created, modified, deleted, or executed as a side effect.
From the tool's definition Tool name 'runtime_get_deployment' and description 'Get full configuration for one Runtime Manager deployment' clearly indicate a retrieval operation with no modification or deletion of data.
Attacks that exploit this kind of access
Get full configuration for one Runtime Manager deployment — properties, environment variables, specs, and target config. Call runtime_list_deployments first to obtain the deploymentId. It is categorised as a Read tool in the Anypoint MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Anypoint MCP Server MCP server in PolicyLayer and add a rule for runtime_get_deployment: 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 Anypoint MCP Server. Nothing to install.
runtime_get_deployment 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 runtime_get_deployment 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 runtime_get_deployment. 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.
runtime_get_deployment is provided by the Anypoint MCP Server MCP server (sravannerella/mulesoft-mcp-server). 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.
Teams ship this data inside their own products. See what a licence covers →