get_agent_character
Get full detail on an agent character including its voice/STT/LLM config and a per-field Completeness section. Use this to confirm a character is ready to call.
This record as markdown: /tools/flowdot-llc-mcp-server/get-agent-character.md
What get_agent_character does on FlowDot MCP Server
AI agents call get_agent_character 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 get_agent_character is rated Low
The tool retrieves and queries configuration details about an agent character (voice, STT, LLM settings, completeness metrics). It is purely informational with no side effects, modifications, deletions, code execution, or financial impact. This is a standard read operation.
From the tool's definition Tool description states 'Get full detail on an agent character' and 'Use this to confirm a character is ready to call' — these are query/retrieval operations with no modification of state.
Attacks that exploit this kind of access
The rule that runs get_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 get_agent_character, this is the rule to start with:
get_agent_character 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 get_agent_character call is checked against it from then on.
Questions about get_agent_character
Get full detail on an agent character including its voice/STT/LLM config and a per-field Completeness section. Use this to confirm a character is ready to call. 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 get_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.
get_agent_character 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 get_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.
Set action: deny in the PolicyLayer policy for get_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.
get_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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