AI agents use create_authorization_url_oauth2 to create or update resources in Zbd — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Zbd environment.
An AI agent can call create_authorization_url_oauth2 faster than any human can review — one bad instruction and it creates or modifies resources in Zbd by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Create an authorization URL for ZBD Login. It is categorised as a Write tool in the Zbd MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Zbd MCP server in PolicyLayer and add a rule for create_authorization_url_oauth2: 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 Zbd. Nothing to install.
create_authorization_url_oauth2 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 create_authorization_url_oauth2 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 create_authorization_url_oauth2. 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.
create_authorization_url_oauth2 is provided by the Zbd MCP server (zebedeeio/zbd-payments-typescript-sdk). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
create_authorization_url_oauth2 is one line of Zbd's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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