adaptercloud_conversations_messages_send
Send a message to a conversation under the nested messages.send surface. Returns the created Message.
This record as markdown: /tools/burdenoff-adaptercloud-mcp/adaptercloud-conversations-messages-send.md
What adaptercloud_conversations_messages_send does on Adaptercloud
AI agents use adaptercloud_conversations_messages_send to create or update resources in Adaptercloud, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Adaptercloud environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
type | string | — | Message type (default TEXT, will be uppercased) |
content | string | Yes | Message content |
conversationId | string | Yes | Conversation ID |
parentMessageId | string | — | Parent message ID (for thread replies) |
Parameters from the server's own tool schema.
Why adaptercloud_conversations_messages_send is rated Medium
An AI agent can call adaptercloud_conversations_messages_send faster than any human can review: one bad instruction and it creates or modifies resources in Adaptercloud by the hundred, each call as confident as the last.
Risk signalsAccepts raw HTML/template content (content)
Attacks that exploit this kind of access
The rule that runs adaptercloud_conversations_messages_send safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Adaptercloud, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For adaptercloud_conversations_messages_send, this is the rule to start with:
adaptercloud_conversations_messages_send 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 Adaptercloud, apply this rule, and every adaptercloud_conversations_messages_send call is checked against it from then on.
Questions about adaptercloud_conversations_messages_send
Send a message to a conversation under the nested messages.send surface. Returns the created Message. It is categorised as a Write tool in the Adaptercloud MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
adaptercloud_conversations_messages_send accepts 4 parameters: type, content, conversationId, parentMessageId. Required: content, conversationId. The full parameter table on this page comes from the server's own tool schema.
Register the Adaptercloud MCP server in PolicyLayer and add a rule for adaptercloud_conversations_messages_send: 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 Adaptercloud. Nothing to install.
adaptercloud_conversations_messages_send 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 adaptercloud_conversations_messages_send 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 adaptercloud_conversations_messages_send. 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.
adaptercloud_conversations_messages_send is provided by the Adaptercloud MCP server (@burdenoff/adaptercloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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