create_agent_character

SERVERFlowDot MCP Server SOURCEflowdot-llc/mcp-server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What create_agent_character does on FlowDot MCP Server

AI agents use create_agent_character to create or update resources in FlowDot MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FlowDot MCP Server environment.

RISK

Why create_agent_character is rated Medium

This tool creates new data (agent character/persona) in a reversible manner. It does not execute code, delete data, or move money. The severity is medium because creating unauthorized agent personas could enable impersonation or unwanted AI interactions, but the action is reversible through deletion or modification.

From the tool's definition "Create a new agent character" — creates a new entity (voice-call persona) with required configuration fields that persists in the Hub system.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_agent_character 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 create_agent_character, this is the rule to start with:

create_agent_character Rate-limited

create_agent_character stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_agent_character": {
      "limits": [
        {
          "counter": "create_agent_character_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT 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 create_agent_character call is checked against it from then on.

FAQ

Questions about create_agent_character

What does the create_agent_character tool do? +

Create a new agent character (voice-call persona). All voice/STT/LLM/persona fields are required — the Hub rejects incomplete characters at save time with code CHARACTER_VOICE_CONFIG_INCOMPLETE. See learn://characters for recommended per-provider values. It is categorised as a Write tool in the FlowDot MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_agent_character? +

Register the FlowDot MCP Server MCP server in PolicyLayer and add a rule for create_agent_character: 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 create_agent_character? +

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

Can I rate-limit create_agent_character? +

Yes. Add a rate_limit block to the create_agent_character 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 create_agent_character completely? +

Set action: deny in the PolicyLayer policy for create_agent_character. 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 create_agent_character? +

create_agent_character 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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