artifacts_set_access

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

Medium RISK CLASS

Category Write

Parameters 22 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-set-access.md

WHAT IT DOES

What artifacts_set_access does on Dialogbrain

AI agents use artifacts_set_access 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
`artifact_id`	integer	Yes	The artifact to change.
`access_level`	string	Yes	'shared' (anyone-with-link) or 'private' (in-app only).

Parameters from the server's own tool schema.

RISK

Why artifacts_set_access is rated Medium

An AI agent can call artifacts_set_access 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.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs artifacts_set_access 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_set_access, this is the rule to start with:

artifacts_set_access Rate-limited

artifacts_set_access 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_set_access": {
      "limits": [
        {
          "counter": "artifacts_set_access_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_set_access call is checked against it from then on.

FAQ

Questions about artifacts_set_access

What does the artifacts_set_access tool do? +

Change an artifact's access level. 'shared' makes the unguessable link the capability (anyone-with-link); 'private' revokes that — the link 404s for anyone not signed into the workspace. Existing shared links keep the same URL when re-shared. 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_set_access accept? +

artifacts_set_access accepts 2 parameters: artifact_id, access_level. Required: artifact_id, access_level. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on artifacts_set_access? +

Register the Dialogbrain MCP server in PolicyLayer and add a rule for artifacts_set_access: 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_set_access? +

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

Can I rate-limit artifacts_set_access? +

Yes. Add a rate_limit block to the artifacts_set_access 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_set_access completely? +

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

artifacts_set_access 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.

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