adaptercloud_conversations_messages_edit

Edit an existing message. Provide new content (object) and optional reason.

SERVERAdaptercloud SOURCE@burdenoff/adaptercloud-mcp

Medium RISK CLASS

Category Write

Parameters 32 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/burdenoff-adaptercloud-mcp/adaptercloud-conversations-messages-edit.md

WHAT IT DOES

What adaptercloud_conversations_messages_edit does on Adaptercloud

AI agents use adaptercloud_conversations_messages_edit 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
`id`	string	Yes	Message ID to edit
`reason`	string	—	Optional reason for the edit (audit log)
`content`	object	Yes	New message content (e.g. { text: "..." })

Parameters from the server's own tool schema.

RISK

Why adaptercloud_conversations_messages_edit is rated Medium

An AI agent can call adaptercloud_conversations_messages_edit 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

RECOMMENDED RULE

The rule that runs adaptercloud_conversations_messages_edit 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_edit, this is the rule to start with:

adaptercloud_conversations_messages_edit Rate-limited

adaptercloud_conversations_messages_edit 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": {
    "adaptercloud_conversations_messages_edit": {
      "limits": [
        {
          "counter": "adaptercloud_conversations_messages_edit_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 Adaptercloud, apply this rule, and every adaptercloud_conversations_messages_edit call is checked against it from then on.

FAQ

Questions about adaptercloud_conversations_messages_edit

What does the adaptercloud_conversations_messages_edit tool do? +

Edit an existing message. Provide new content (object) and optional reason. 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.

What parameters does adaptercloud_conversations_messages_edit accept? +

adaptercloud_conversations_messages_edit accepts 3 parameters: id, reason, content. Required: id, content. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on adaptercloud_conversations_messages_edit? +

Register the Adaptercloud MCP server in PolicyLayer and add a rule for adaptercloud_conversations_messages_edit: 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.

What risk level is adaptercloud_conversations_messages_edit? +

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

Can I rate-limit adaptercloud_conversations_messages_edit? +

Yes. Add a rate_limit block to the adaptercloud_conversations_messages_edit 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 adaptercloud_conversations_messages_edit completely? +

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

adaptercloud_conversations_messages_edit 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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