update_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/update-agent-character.md

WHAT IT DOES

What update_agent_character does on FlowDot MCP Server

AI agents use update_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 update_agent_character is rated Medium

This tool creates or modifies data (an agent character configuration) reversibly. Updates can be reverted or corrected, fitting the Write category. Severity is medium because misconfiguration of agent behavior could have downstream effects on agent outputs and actions, but the change itself is not destructive, financial, or immediately executable.

From the tool's definition Tool description states 'Update an agent character' and 'Send only the fields you want to change', indicating modification of existing data in a reversible manner.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

update_agent_character Rate-limited

update_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": {
    "update_agent_character": {
      "limits": [
        {
          "counter": "update_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 update_agent_character call is checked against it from then on.

FAQ

Questions about update_agent_character

What does the update_agent_character tool do? +

Update an agent character. Send only the fields you want to change. The Hub validates the post-merge state — if the patch would leave the character incomplete the call returns CHARACTER_VOICE_CONFIG_INCOMPLETE with the missing fields. 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 update_agent_character? +

Register the FlowDot MCP Server MCP server in PolicyLayer and add a rule for update_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 update_agent_character? +

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

Can I rate-limit update_agent_character? +

Yes. Add a rate_limit block to the update_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 update_agent_character completely? +

Set action: deny in the PolicyLayer policy for update_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 update_agent_character? +

update_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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