AI agents use swaggbot_set_auth_token to create or update resources in Swaggbot — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Swaggbot environment.
An AI agent can call swaggbot_set_auth_token faster than any human can review — one bad instruction and it creates or modifies resources in Swaggbot by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Manually set the authentication token for a session. Use this after login to save the access token so subsequent requests are authenticated. It is categorised as a Write tool in the Swaggbot MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Swaggbot MCP server in PolicyLayer and add a rule for swaggbot_set_auth_token: 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 Swaggbot. Nothing to install.
swaggbot_set_auth_token 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 swaggbot_set_auth_token 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 swaggbot_set_auth_token. 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.
swaggbot_set_auth_token is provided by the Swaggbot MCP server (techbloom-ai/swaggbot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.