Medium Risk

journal_dialogue

The user replies to one of your user-shared entries. The tool refuses with

How to control journal_dialogue ↓

What journal_dialogue does on Celiums Memory

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

Medium Risk

Why journal_dialogue needs a policy

The tool creates or appends dialogue/response entries to existing journal records. This is reversible modification of data (Write category). Severity is low because: (1) journal entries are typically non-critical data, (2) the tool appears to operate on user-owned data with access controls ('refuses with...'), (3) there is no financial or destructive impact, and (4) no code execution or external system effects are…

From the tool's definition Tool name 'journal_dialogue' and description indicate the user 'replies to one of your user-shared entries.' This is a write operation that creates/modifies dialogue data in a journal or memory system.

Documented attack patterns abuse exactly the kind of access journal_dialogue gives an agent:

How to control journal_dialogue

PolicyLayer is an MCP gateway — it sits between your AI agents and Celiums Memory, and nothing reaches the server without passing your rules. This is the rule we recommend for journal_dialogue:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "journal_dialogue": {
      "limits": [
        {
          "counter": "journal_dialogue_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

journal_dialogue 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.

  1. Create a free account and register Celiums Memory — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about journal_dialogue

What does the journal_dialogue tool do? +

The user replies to one of your user-shared entries. The tool refuses with. It is categorised as a Write tool in the Celiums Memory MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on journal_dialogue? +

Register the Celiums Memory MCP server in PolicyLayer and add a rule for journal_dialogue: 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 Celiums Memory. Nothing to install.

What risk level is journal_dialogue? +

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

Can I rate-limit journal_dialogue? +

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

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

journal_dialogue is provided by the Celiums Memory MCP server (terrizoaguimor/celiums-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Celiums Memory tool call.

Start from Celiums Memory, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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62 Celiums Memory tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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