artifacts_update

SERVERDialogbrain SOURCEhttps://api.dialogbrain.com/mcp

Medium RISK CLASS

Category Write

Parameters 42 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-saloprj-dialogbrain/artifacts-update.md

WHAT IT DOES

What artifacts_update does on Dialogbrain

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

Parameter	Type	Required	Description
`html`	string	Yes	The new full self-contained HTML page (same contract as artifacts.create).
`label`	string	—	Optional human name for this version (e.g. 'Q3 final').
`template`	string	—	Optional: attach/replace the data-driven template (HTML with {{placeholder}} tokens) on this existing artifact, so later artifacts.refresh(data={...}) can re-re
`artifact_id`	integer	Yes	The artifact to republish.

Parameters from the server's own tool schema.

RISK

Why artifacts_update is rated Medium

An AI agent can call artifacts_update faster than any human can review: one bad instruction and it creates or modifies resources in Dialogbrain by the hundred, each call as confident as the last.

Risk signalsAccepts raw HTML/template content (html)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs artifacts_update safely

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

artifacts_update Rate-limited

artifacts_update 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": {
    "artifacts_update": {
      "limits": [
        {
          "counter": "artifacts_update_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 Dialogbrain, apply this rule, and every artifacts_update call is checked against it from then on.

FAQ

Questions about artifacts_update

What does the artifacts_update tool do? +

Republish an existing artifact with new HTML. The slug and URL stay the SAME; a new version is stored (older versions are retained up to a cap). Use this to refresh a shared dashboard — anyone with the link sees the new snapshot. It is categorised as a Write tool in the Dialogbrain MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does artifacts_update accept? +

artifacts_update accepts 4 parameters: html, label, template, artifact_id. Required: html, artifact_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on artifacts_update? +

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

What risk level is artifacts_update? +

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

Can I rate-limit artifacts_update? +

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

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

artifacts_update is provided by the Dialogbrain MCP server (https://api.dialogbrain.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Dialogbrain, and thousands of servers like it.

This server

All 225 Dialogbrain tools →

Across the catalogue

aroflo_create_or_update_record on AroFlo MCP →team_manager_update_budget on Team Manager MCP → The MCP Attack Database →

Guides

Govern customer-ops agents →Argument validation →Scoped token →