agents_update_from_template

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

Medium RISK CLASS

Category Write

Parameters 11 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/agents-update-from-template.md

WHAT IT DOES

What agents_update_from_template does on Dialogbrain

AI agents use agents_update_from_template 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
`agent_id`	integer	Yes	ID of the forked agent to update from its template

Parameters from the server's own tool schema.

RISK

Why agents_update_from_template is rated Medium

This tool modifies agent configuration by overwriting prompt text, which is a reversible write operation. While customizations are replaced, the description notes this is 'recoverable via prompt history', indicating the change is not permanent or destructive. It does not execute code, delete data irreversibly, or move money.

From the tool's definition Tool description states: 'OVERWRITES the agent's prompt_text with the template's current prompt — any customizations to the prompt are replaced'. The operation modifies existing agent configuration data (prompt instructions).

Attacks that exploit this kind of access

RECOMMENDED RULE

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

agents_update_from_template Rate-limited

agents_update_from_template 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": {
    "agents_update_from_template": {
      "limits": [
        {
          "counter": "agents_update_from_template_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 agents_update_from_template call is checked against it from then on.

FAQ

Questions about agents_update_from_template

What does the agents_update_from_template tool do? +

Update a forked agent's instructions (prompt) to the latest version of the system template it was created from. Use when the platform has improved a template and the user wants their forked agent to pick up the new prompt. This OVERWRITES the agent's prompt_text with the template's current prompt — any customizations to the prompt are replaced (recoverable via prompt history). Tool/model/execution settings are NOT changed. Only works on agents forked from a template (not from-scratch agents or templates themselves). 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 agents_update_from_template accept? +

agents_update_from_template accepts 1 parameter: agent_id. Required: agent_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on agents_update_from_template? +

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

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

Can I rate-limit agents_update_from_template? +

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

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

agents_update_from_template 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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