create_retell_llm
Create a new Retell LLM response engine with prompt and model settings. WHEN TO USE: - Creating a new agent that needs its own prompt/model config - Separating a new call workflow from an existing agent
This record as markdown: /tools/freshdesk/create-retell-llm.md
What create_retell_llm does on Freshdesk
AI agents use create_retell_llm to create or update resources in Freshdesk, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Freshdesk environment.
Why create_retell_llm is rated Medium
This tool creates or registers a new LLM agent/engine with specific configurations. This is a reversible Write operation—the newly created agent can be modified or deleted later. It does not execute arbitrary code, delete data, or move money.
From the tool's definition Tool description states 'Create a new Retell LLM response engine' which is a create operation that generates a new configuration object. The tool involves model settings and prompt configuration, creating a persistent agent resource.
Attacks that exploit this kind of access
The rule that runs create_retell_llm safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Freshdesk, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_retell_llm, this is the rule to start with:
create_retell_llm 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Freshdesk, apply this rule, and every create_retell_llm call is checked against it from then on.
Questions about create_retell_llm
Create a new Retell LLM response engine with prompt and model settings. WHEN TO USE: - Creating a new agent that needs its own prompt/model config - Separating a new call workflow from an existing agent. It is categorised as a Write tool in the Freshdesk MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Freshdesk MCP server in PolicyLayer and add a rule for create_retell_llm: 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 Freshdesk. Nothing to install.
create_retell_llm is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_retell_llm 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 create_retell_llm. 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.
create_retell_llm is provided by the Freshdesk MCP server (@mindstone-engineering/mcp-server-freshdesk). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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