swaggbot_chat

Send a message to Swaggbot to interact with an API

Server Swaggbot techbloom-ai/swaggbot
Category Write
Risk class Medium
Parameters 00 required

What swaggbot_chat does on Swaggbot

AI agents use swaggbot_chat 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.

Why swaggbot_chat needs a policy

An AI agent can call swaggbot_chat 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.

Questions about swaggbot_chat

What does the swaggbot_chat tool do? +

Send a message to Swaggbot to interact with an API. 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.

How do I enforce a policy on swaggbot_chat? +

Register the Swaggbot MCP server in PolicyLayer and add a rule for swaggbot_chat: 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.

What risk level is swaggbot_chat? +

swaggbot_chat is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit swaggbot_chat? +

Yes. Add a rate_limit block to the swaggbot_chat 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.

How do I block swaggbot_chat completely? +

Set action: deny in the PolicyLayer policy for swaggbot_chat. 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.

What MCP server provides swaggbot_chat? +

swaggbot_chat 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.

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