Update an applied API-level policy configuration.
AI agents use api_policy_update to create or update resources in Anypoint MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Anypoint MCP Server environment.
Updating API policies is a reversible write operation that modifies configuration but does not delete data or execute arbitrary code. However, it carries high severity because misconfigured API policies can impact authentication, authorization, rate limiting, and traffic routing—potentially affecting API availability and security posture across dependent services.
From the tool's definition Tool name 'api_policy_update' and description 'Update an applied API-level policy configuration' indicate modification of existing policy settings.
Attacks that exploit this kind of access
Update an applied API-level policy configuration. It is categorised as a Write tool in the Anypoint MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Anypoint MCP Server MCP server in PolicyLayer and add a rule for api_policy_update: 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.
api_policy_update is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the api_policy_update 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 api_policy_update. 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.
api_policy_update 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 →