list_agent_characters
List your agent characters (voice-call personas). Each row shows a completeness badge — ready to call (✅) vs. missing voice config (⚠️). Use get_agent_character for full detail and update_agent_character to fill in missing fields.
This record as markdown: /tools/flowdot-llc-mcp-server/list-agent-characters.md
What list_agent_characters does on FlowDot MCP Server
AI agents call list_agent_characters 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.
Why list_agent_characters is rated Low
This tool retrieves and queries existing agent character data without side effects. It returns a list view of voice-call personas with their completeness status. The description explicitly references companion tools (get_agent_character, update_agent_character) for detailed retrieval and modification, confirming this tool is read-only. No code execution, data modification, deletion, or financial impact is possible.
From the tool's definition Tool description uses 'List' and 'Each row shows' indicating data retrieval. No modification, deletion, execution, or financial operations are described. The tool retrieves information about agent characters with status indicators.
Attacks that exploit this kind of access
The rule that runs list_agent_characters 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 list_agent_characters, this is the rule to start with:
list_agent_characters is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect FlowDot MCP Server, apply this rule, and every list_agent_characters call is checked against it from then on.
Questions about list_agent_characters
List your agent characters (voice-call personas). Each row shows a completeness badge — ready to call (✅) vs. missing voice config (⚠️). Use get_agent_character for full detail and update_agent_character to fill in missing fields. It is categorised as a Read tool in the FlowDot MCP Server MCP Server, which means it retrieves data without modifying state.
Register the FlowDot MCP Server MCP server in PolicyLayer and add a rule for list_agent_characters: 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.
list_agent_characters is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_agent_characters 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 list_agent_characters. 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.
list_agent_characters 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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