create_inbox_reply_suggestion

Create a draft reply suggestion that appears inline in the FavCRM Inbox composer. Use this for message.inbound events with replyPolicy="suggest"; it does not send anything to the customer.

SERVERFavCRM SOURCEhttps://api.favcrm.io/mcp

Medium RISK CLASS

Category Write

Parameters 63 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-favcrm-favcrm/create-inbox-reply-suggestion.md

WHAT IT DOES

What create_inbox_reply_suggestion does on FavCRM

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

Parameter	Type	Required	Description
`body`	string	Yes	Draft reply text for the merchant to review
`agentId`	string	Yes	AI colleague ID creating the suggestion
`subject`	string	—	Optional email subject suggestion
`metadata`	object	—	Optional metadata such as rationale, confidence, or source refs
`conversationId`	string	Yes	Inbox conversation ID
`sourceMessageId`	string	—	Inbound message ID this draft responds to

Parameters from the server's own tool schema.

RISK

Why create_inbox_reply_suggestion is rated Medium

This tool creates and modifies data (a draft reply suggestion) within the CRM system in a reversible manner. It does not execute external operations, send messages, delete data, or move money.

From the tool's definition The tool 'create_inbox_reply_suggestion' creates a draft reply suggestion that appears inline in the FavCRM Inbox composer.

Risk signalsAccepts raw HTML/template content (body)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_inbox_reply_suggestion safely

PolicyLayer is an MCP gateway: it sits between your AI agents and FavCRM, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_inbox_reply_suggestion, this is the rule to start with:

create_inbox_reply_suggestion Rate-limited

create_inbox_reply_suggestion 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_inbox_reply_suggestion": {
      "limits": [
        {
          "counter": "create_inbox_reply_suggestion_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 FavCRM, apply this rule, and every create_inbox_reply_suggestion call is checked against it from then on.

FAQ

Questions about create_inbox_reply_suggestion

What does the create_inbox_reply_suggestion tool do? +

Create a draft reply suggestion that appears inline in the FavCRM Inbox composer. Use this for message.inbound events with replyPolicy="suggest"; it does not send anything to the customer. It is categorised as a Write tool in the FavCRM MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does create_inbox_reply_suggestion accept? +

create_inbox_reply_suggestion accepts 6 parameters: body, agentId, subject, metadata, conversationId, sourceMessageId. Required: body, agentId, conversationId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on create_inbox_reply_suggestion? +

Register the FavCRM MCP server in PolicyLayer and add a rule for create_inbox_reply_suggestion: 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 FavCRM. Nothing to install.

What risk level is create_inbox_reply_suggestion? +

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

Can I rate-limit create_inbox_reply_suggestion? +

Yes. Add a rate_limit block to the create_inbox_reply_suggestion 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_inbox_reply_suggestion completely? +

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

create_inbox_reply_suggestion is provided by the FavCRM MCP server (https://api.favcrm.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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