agent_chat

Chat with the FlowDot AI agent. The agent can help discover workflows, suggest which workflow to run, and explain workflow capabilities.

SERVERFlowDot MCP Server SOURCEflowdot-llc/mcp-server

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/flowdot-llc-mcp-server/agent-chat.md

WHAT IT DOES

What agent_chat does on FlowDot MCP Server

AI agents call agent_chat to retrieve information from FlowDot MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why agent_chat is rated Low

The tool is described as a conversational/discovery interface — it helps users find and understand workflows rather than executing, modifying, or deleting them. The described actions (discover, suggest, explain) are read-oriented.

From the tool's definition Chat with the FlowDot AI agent...can help discover workflows, suggest which workflow to run, and explain workflow capabilities.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs agent_chat safely

PolicyLayer is an MCP gateway: it sits between your AI agents and FlowDot MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For agent_chat, this is the rule to start with:

agent_chat Allowed

agent_chat is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "agent_chat": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect FlowDot MCP Server, apply this rule, and every agent_chat call is checked against it from then on.

FAQ

Questions about agent_chat

What does the agent_chat tool do? +

Chat with the FlowDot AI agent. The agent can help discover workflows, suggest which workflow to run, and explain workflow capabilities. It is categorised as a Read tool in the FlowDot MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on agent_chat? +

Register the FlowDot MCP Server MCP server in PolicyLayer and add a rule for agent_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 FlowDot MCP Server. Nothing to install.

What risk level is agent_chat? +

agent_chat is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit agent_chat? +

Yes. Add a rate_limit block to the agent_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 agent_chat completely? +

Set action: deny in the PolicyLayer policy for agent_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 agent_chat? +

agent_chat is provided by the FlowDot MCP Server MCP server (flowdot-llc/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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